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Monday, December 9
 

8:00am CST

Registration, Coffee & Rolls
Monday December 9, 2019 8:00am - 9:00am CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:00am CST

She Talks Data: Panel Discussion
Join us as we host a panel of badass women to facilitate an interactive discussion around our shared experiences with equity and inclusion in technology careers.

Moderators
avatar for Serena Roberts

Serena Roberts

Chief Operations Guru, Via Gurus
Serena is an entrepreneur in spirit and formal education, a technology sales professional by trade, and a data rockstar by choice - and a sheer necessity if she's being honest. She has spent the last 14 years working in a variety of roles in the analytics.

Speakers
avatar for Kristine Rennaker

Kristine Rennaker

SAP Master Data Analyst, General Mills
avatar for Rebeccah Stay, MS, MBA

Rebeccah Stay, MS, MBA

Data Science Lead, Cargill
avatar for Chelsea Ihle, MS

Chelsea Ihle, MS

Practice Area Lead, Data & Analytics, Slalom
avatar for Bonnie Holub, PhD

Bonnie Holub, PhD

Managing Partner, Practice Lead, Data Science, Americas, Teradata


Monday December 9, 2019 9:00am - 9:45am CST
Elements Café (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:00am CST

Making Better Business Decisions at Grande Cheese with Public Data
Data-driven decisions are paramount to thriving and growing in today’s business, government, and service environments. In this session, the Grande Cheese Company shares how to leverage vast resources of publicly available data from governments, non-governmental organizations, and commercial sources to augment and enhance understanding; leading to better business decisions. Topics include: - Sources and access methods to publicly available data sets, reliability and biases in data, and opportunities to use public data both tactically and strategically. Data use demonstrations using public data from North/South America, Europe, and Oceania will focus on proper organization, presentation, and visualization of data and methods to source and structure data within to make comparative analysis and glean understanding. A use case in collaboration with the Department of Applied Economics at the University of Minnesota-Twin Cities focusing on agricultural data will be featured.

Speakers
avatar for Rob Rowbotham, MS, PhD

Rob Rowbotham, MS, PhD

Senior Principal Data Scientist, Grande Cheese Company
Dr. Rob Rowbotham brings a production agriculture background (Dairy, Genetics, and Agronomy) as well as experience from a long career in Industry (25+ years at the Grande Cheese Company leading efforts in innovation) focusing on data science.


Monday December 9, 2019 9:00am - 9:45am CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:00am CST

Addressing Variety and Veracity of Data in Ag Through Partnerships and Modernization of Infrastructure
The agricultural aspects of our food systems are large, complex and critical. We’ve seen considerable hype around the potential for disruptive innovation here, particularly in our supply chains. Much of the hype has failed to produce the waves change predicted due to three primary reasons — difficulty, trust, reliability.

We’ve seen diffusion of innovation in agriculture before. As a matter of fact, the law of diffusion of innovation was created here (Beal and Bohen 1957). Infrastructure could be considered the greatest advancement in the grain industry in the last century, but the landscape of farming has dramatically changed since 1957. Machinery, inputs and precision practices have advanced by leaps and bounds, and yet digital infrastructure, remains siloed. It’s dried, stored and waiting.

Bushel has built an incredible product around transporting that data; bringing it back to the producer in a sensible manner, and doing so from a large variety of sources. Our vision is to connect and enhance the grain industry through digital infrastructure. And we’re doing it when the timing is right, with trusted solutions for a mass market that’s ready for cooperative innovation. We’re helping growers and producers find efficiency in monitoring their outputs, completing transactions and sending data where it needs to go. And we’re doing it in a reliable way that resonates with a mass market.

This presentation will describe the technical approach that Bushel uses, discuss some of the challenges to this approach and cover the importance of our partnerships and the mutual benefit obtained by introducing cooperative innovation in data exchange.

Speakers
avatar for Ted Steinmann

Ted Steinmann

Technical Project Manager, Bushel
Facilitating technical partnerships & data exchange activities that connect agricultural producers & merchants. Previously managed a portfolio of IT products at UMN focused on traceability and reducing disruption within our for supply.


Monday December 9, 2019 9:00am - 9:45am CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:00am CST

Food Safety Intelligence
Food Safety Intelligence is a data product offering that helps Food Service customers proactively address their risk towards Food Borne Illness and Health Department Inspection failures

Speakers
avatar for Shilpa Yelamaneni, MBA

Shilpa Yelamaneni, MBA

Director of Data Science, Ecolab
As a key business leader experienced in analytics and business processes across multiple industries, I partner with senior executives in driving strategic analytics programs and optimizing operational performance.


Monday December 9, 2019 9:00am - 9:45am CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:00am CST

Simulation of Supply Chain for fun and profit
Simulation is oft used to provide insight into a complicated real life replenishment process. Simulations can take months to set up, but only provide insight into a few narrow research questions. How can we wring more value out of our simulations? Sometimes models of varying complexity must be created to ladder up (or down) the output level of detail. How should one wrangle the simulation outputs to connect the sims? I will share a few techniques borrowed from from Applied Mathematics to ground simulation research.

Speakers
avatar for Samantha Schumacher, PhD

Samantha Schumacher, PhD

Director of Data Science and Analytics for Supply Chain, Target Corporation
My area of focus is simulation, in particular modeling different aspects of the supply chain to improve automated replenishment overages and outages. I am a leader who specializes in bringing advanced mathematics to a variety of applications.


Monday December 9, 2019 9:00am - 9:45am CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:00am CST

Startup Showcase
Like our past conferences, this event includes a Startup Showcase session with pitches from analytics, AI, machine learning, and other emerging data technology startups focused in Food, Ag, Sustainability and Supply Chain. Each startup gets six minutes to pitch followed by a Q&A with the audience. Investors, corporate execs, and data professionals will be in attendance.

Session Chair: Graeme Thickins (graeme@minneanalytics.org)

Startups
avatar for Big Wheelbarrow

Big Wheelbarrow

An enterprise software solution helping food companies and food retailers meet the megatrend demand for local food. Solves a fundamental challenge that has prevented the food grown on 475 million small farms in the world from getting into local supply chains.
avatar for ConverSight.ai

ConverSight.ai

Provides business insights through natural interaction and voice. Platform creates and aggregates actionable data to help business leaders make informed decisions without having to manually create reports. Solutions for sales, product/inventory, warehousing, supply chain.
avatar for General Probiotics

General Probiotics

Develops innovative cellbots that eliminate harmful pathogens in livestock. Its precisely engineered cellbots combine artificial intelligence and synthetic biology. Farmers now urgently need new antimicrobials to raise healthy livestock and to produce safe food.
avatar for ImagoAI

ImagoAI

Helps food processing companies improve operational efficiency and reduce product recall risk through automated food analysis utilizing state-of-the-art imagery solutions and proprietary AI technologies. Identifies and locates contamination of food at production-line speeds.
avatar for Insight Sensing Corporation

Insight Sensing Corporation

Provides calibrated, timely, map-based, actionable information for agronomists to optimally apply fertilizer and maximize profitability. Focused on data-driven solutions, not on selling sensors, images, or analytics that don’t have a meaningful return for on-farm decision makin... Read More →
avatar for Nexyst 360

Nexyst 360

Mobile solution for crop storage and transportation that provides full traceability back to the field of origin using a NexBox, a "smart box" that crops are loaded into at harvest and stay in until they reach their final destination. Reduces handling and provides an accurate, historical... Read More →
avatar for Otrafy

Otrafy

Simplifies regulatory and certification compliance for food companies with quality management software that automates the collection and transfer of that data. Its vision is to be the source of truth for real-time food history and safety information.
avatar for Poultry Patrol

Poultry Patrol

A robotics company to service the poultry production industry, providing solutions for deceased bird detection, bed tilling, increased bird movement, welfare quantification, and improved biosecurity. Its mission is to innovate the industry for the next generation of farmers by protecting... Read More →
avatar for Retail Data Trust

Retail Data Trust

Helps brands and retailers contact consumers to save lives in the event of a product recall. Current food safety programs cannot manage the 225% growth in recalls over the past 10 years. RDT’s point of sale and blockchain technology is the critical link for all food supply chains... Read More →
avatar for Spoonshot

Spoonshot

A B2B intelligence company specifically focusing on the food and beverage market, initially in North America. It empowers those responsible for product development to identify food trends early and ideate using our predictive intelligence platform, helping to invent the future of... Read More →
avatar for Spruik Technologies

Spruik Technologies

Provides expert, one-stop smart factory consulting and technology implementation, delivered through a fresh, nimble, and vendor-agnostic business model that defies the slow and traditional to move manufacturing at digital speed. Dedicated to the adoption of low-code and open source... Read More →


Monday December 9, 2019 9:00am - 12:15pm CST
Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

9:45am CST

Break
Monday December 9, 2019 9:45am - 10:00am CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:00am CST

Change Management in a Data Driven World
This session focuses on report consolidation and getting disparate groups to agree on metrics and a single version of the truth.

Speakers
avatar for Ryan Ambrose

Ryan Ambrose

Manager, Enterprise Reporting CoE, General Mills
Ryan is one of the leaders of the Reporting Center of Excellence, helping drive growth and deliver value for General Mills by designing  BI strategies, optimizing end users’ digital experience and providing powerful insights to business partners. The Reporting Center of Excellence... Read More →


Monday December 9, 2019 10:00am - 10:30am CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:00am CST

Integrated Data and Advanced Analytics Across the Value Chain
The agriculture supply chain is continuing to go through significant advancements, from precision farming, sensors, use of drones and autonomous vehicles to image analytics supporting improvements in yield. Food processing is undergoing complementary improvements in quality and safety using computer vision and pathogen detection. As these and other technology improvements are increasingly used they all generate enormous volumes of data. Many organizations are approaching the data and analytics issue in isolated areas and achieving some success, but this is leading to sub-optimal results across the value chain. Analyzing the interactions from diverse data sources and applying analytics techniques across these technologies, functions and processes is a way to gain exponential value throughout the organization. During this session we will discuss how to leverage combinations of new and legacy technologies using large-scale integrated data and advanced analytics techniques (e.g., path, geospatial, time series, and machine learning) across the agriculture and food processing supply chain.

Speakers
avatar for Gregory Sloyer, PhD

Gregory Sloyer, PhD

Sr. Industry Consultant, Teradata
Greg is a Sr. Industry Consultant for Teradata, prior to that he spent nearly 20 years in the chemical industry where his last position was the Global Director of Supply Chain Operations for BASF.
avatar for Scott Toborg, PhD

Scott Toborg, PhD

Principal Data Scientist, Teradata


Monday December 9, 2019 10:00am - 10:30am CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:00am CST

Precision Agriculture
Agriculture and technology are growing together, and as the adoption of precision agriculture continues to shape the modern farm we at FarmFemmes are partnering with local farmers to cross the digital divide. As farmers ourselves, and in our partnerships we strive towards digital solutions that improve sustainability and digital resiliency that improves productivity and profitability of the small businesses and family farms that make up 98% of farm ownership.

This talk will highlight the startup space in the agriculture community, in recognizing that the pace of innovation is accelerating. We will speak to how each of 5 start ups are addressing opportunities in agriculture in unique applications of technology and artificial intelligence from FarmBucks to Farm Dog to Farmobile. We will also cover 5 remaining areas of innovation, where farmers, as early adopters of technology are seeking solutions and tech stack implementations that compliment their equipment lineup. If you are looking to learn about tactical ways to enter the precision agriculture marketplace, or just learn the amount of high tech in use on family farms today this talk is for you.

Speakers
avatar for Karen Hildebrand, PhD

Karen Hildebrand, PhD

CTO, Farm Femmes
I am inspired to be part of the solution in feeding the worlds’ population through the adoption of digital expertise in agriculture.
avatar for Teresa Vallotton, MS

Teresa Vallotton, MS

CEO, Farm Femmes


Monday December 9, 2019 10:00am - 10:30am CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:00am CST

Food Service Bid-Price Optimization
As a leading supplier in the institutional food service industry, Land O’Lakes provides various processed cheese products via annual competitive contracts. Each bid requires a custom price, set individually per contract, trading off win probabilities (low prices) and profit margins (high prices).

To provide accurate estimates of win probabilities, the Land O’Lakes Data Science team set out to build a classification model, predicting likelihood of winning a bid at a given price, but training such a model is challenging due to limited data and overfitting. In this presentation we will share two innovative techniques in data augmentation and de-overfitting, which enable a classification model reliable enough to optimize prices and maximize expected profit.

Speakers
avatar for Ian Sherman, MBA

Ian Sherman, MBA

Manager, Data Science, Land O'Lakes
Ian is Manager of Data Science, leading Land O’Lakes’ advanced analytics and machine learning efforts. Prior to Land O’Lakes, Ian has held analytic positions at Centriam, G&K Services, and SUPERVALU.
avatar for Vineet Tanna, MS

Vineet Tanna, MS

Data Scientist, Land O'Lakes


Monday December 9, 2019 10:00am - 10:30am CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:30am CST

Break
Monday December 9, 2019 10:30am - 10:45am CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:45am CST

Leveraging Machine Learning in Ag
In the area of inspection the combination of machine vision and machine learning is changing the way inspection in done in agriculture - globally. However, for some companies it is not clear how to leverage this technology. Even companies with a data scientist team, are looking for specific machine learning models, and practical implementation strategies that drive value for their specific crops and at different places in the supply chain where they can add value or manage risk.

Speakers
avatar for John Murphy

John Murphy

CEO, Stream Technologies Inc
John has over thirty years of technology commercialization, founded multiple start-ups, a mix of successful exits, and failures. He is on the Industry Advisory for the Global Institute for Food Security, Chairman of the Alberta Nano Association, and an angel investor.


Monday December 9, 2019 10:45am - 11:15am CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:45am CST

MLOps: From Experiment to Production
Starting from a small AI/ML experiment or a proof of concept, all the way down to the production-grade system, a machine learning solution lifecycle and infrastructure cover much broader space than just an ML model code. It often consists of multiple stages, workflows and many different building blocks and components.

Maintaining multiple models in production requires well-established processes and workflows. In the same time, machine learning introduces fundamentally new challenges for traditional SDLC and CI/CD lifecycles due to its “data-driven” nature that defines the behavior of the system:

  • ML-specific operations that depend on the data (i.e. data versioning, feature extraction, model training, evaluation, tuning and serving)
  • Complex landscape of various ML tools, libraries, frameworks, platforms and hardware accelerators
  • Large scale ML workloads often involve multiple data sources of different kinds and ownership
  • Success depends on cooperation of multiple teams and stakeholders with poorly separated responsibilities and different workflow speeds
  • Production ML deployments require constant monitoring, quality control and ability to debug and interpret critical issues

In this session, SoftServe will share design recommendations and CI/CD best practices in building large-scale AI and Machine Learning systems using open source cloud-native solutions to address nowadays business and technical challenges and bridge the gap between data, science, IT, business stakeholders and end-users.

Speakers
avatar for Iurii Milovanov

Iurii Milovanov

Director of AI & Data Science, SoftServe
Iurii is a Director of AI and Data Science with more than 10 years of experience in building enterprise-level AI, big data and advanced analytics solutions.


Monday December 9, 2019 10:45am - 11:15am CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:45am CST

(Artificial) Intelligence in High Volume Manufacturing
Seagate Technology manufactures and excess of 2 million HDD heads per day. Robust manufacturing of this many units provides unique challenges that are well aligned with machine learning analytics strengths. In this session, we will describe a successfully demonstrated defect inspection application and discuss challenges in scaling the application to a high volume production environment. The discussion will highlight organizational, hardware, and software learning that is valuable for scaling machine learning applications.

Speakers
avatar for Gary Kunkel, MS, PhD

Gary Kunkel, MS, PhD

Managing Principal Engineer, Seagate Technology
Lead metrology and analytics team developing factory systems leveraging machine learning, IoT, and manufacturing 4.0. Gary joined Seagate in 2006 and has held roles in system, sensor, design, model, test, reliability, and process development.


Monday December 9, 2019 10:45am - 11:15am CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

10:45am CST

Hive Migration to Databricks
IRI had developed and operates an ETL Framework that currently leverages internal infrastructure running Hadoop ecosystem services such as HDFS and Hive. There is continued interest in leveraging cloud-based resources providing utilization-based pricing and scalability to meet business needs. A prototype was performed to assess the compatibility and performance of migrating the existing IRI framework to Azure Databricks.

Speakers
ST

Sam Tong

VP, Head of Global Solution Architecture, IRI Worldwide
Sam Tong is VP, Head of Global Solution Architecture at IRI. Sam brings more than 30 years of experience to the forefront and helps IRI maintain the #1 role in the highly coveted CPG market.


Monday December 9, 2019 10:45am - 11:15am CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

11:15am CST

Break
Monday December 9, 2019 11:15am - 11:30am CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

11:30am CST

CxO Panel Discussion
Moderators
avatar for Kerri Miller

Kerri Miller

Host, MPR News
Host of MPR News with Kerri Miller and the literary series, Talking Volumes.

Speakers
avatar for Amanda Little, PhD

Amanda Little, PhD

Journalist, Author, Professor, The Fate of Food: What We’ll Eat in a Bigger, Hotter, Smarter World
Amanda Little is a professor of journalism and science writing at Vanderbilt University. She’s the author of The Fate of Food: What We’ll Eat in a Bigger, Hotter, Smarter World, a five-year adventure into the lands, minds and machines shaping the future of sustainable food. Little's... Read More →
avatar for Don Monk, MS

Don Monk, MS

VP, CIO, Technology Solutions, General Mills
Senior Information Technology Executive with over 28 years of experience responsible for Global Information Technology, strategy, operations, and business processes across General Mills global business.
avatar for Marc Carlson, MBA

Marc Carlson, MBA

Chief Information Officer, Land O' Lakes
avatar for Lisa Schlosser

Lisa Schlosser

Executive Director, Technovation
Executive Leader with a passion for technology and public service with a successful track record of leading diverse, global teams. Currently leading Technovation[MN], which inspires and enables teen girls, ages 10-18, to code and pitch digital apps.
avatar for Keith Narr

Keith Narr

Global IT Vice President – Cargill Digital Labs, Cargill
Senior Tech Leader driving innovation, agile transformation, maturing cloud computing adoption and enhancing how Cargill manages and leverages data.


Monday December 9, 2019 11:30am - 12:15pm CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

11:30am CST

Grow: Young Professionals applying Analytics to Agriculture
Agriculture is one of the final fields to feel the impact of analytics and data science, but it could be it's most impactful. The sector provides a fertile opportunity for young professionals to pursue interesting and meaningful work. However, many of these firms are mature and growing their analytics capabilities can be a challenge.

You are welcome to join a candid and insightful conversation with a panel of young analytics professionals who are helping grow these capabilities. You will hear about obstacles being faced and also how they are leveraging technology in exciting new ways.

This session should enlighten students and young professionals about what it looks like to do data science in the field, but also share an important perspective to managers looking to understand how other companies have overcome challenges in their drive to improve operations in ag, sustainability, and supply chain around the world.

Moderators
avatar for William Eerdmans, MS

William Eerdmans, MS

Data Scientist, Cargill

Speakers
avatar for Waverly Konynenbelt, MS

Waverly Konynenbelt, MS

Data and Insights Engineer, Merrill Corporation
avatar for Anirudh Narayanan, MS

Anirudh Narayanan, MS

Sr. Data Scientist, Land O'Lakes, Inc.
avatar for Daniel McKenzie

Daniel McKenzie

Associate Data Scientist, Ecolab
avatar for Victoria Wenker, MS

Victoria Wenker, MS

Data Scientist, General Mills


Monday December 9, 2019 11:30am - 12:15pm CST
Elements Café (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

11:30am CST

Extinction or Sustainability: Paleontology, Big Data, and Geospatial Analytics for Conservation
What is the role of corporate Data Scientist in creating a sustainable future? With his background in paleontology, environmental science, and mass extinctions, Kristopher Purens will show how corporate scientists can use geospatial analytics to help companies find sustainable solutions—while also helping the organization become more efficient. Considering the rapid increase in the number of Earth's observation satellites in the past decade, geospatial analysis is entering a new era where big data tools are necessary to analyze and create value from this data. From classic use cases of crop monitoring, new satellites sensor types are empowering organizations to understand the carbon cycle and pollutant emissions, see through clouds, and more.

Speakers
avatar for Kristopher Purens, MS, PhD

Kristopher Purens, MS, PhD

Applied Scientist, Descartes Labs
With a background in paleontology and environmental science, Kristopher has sought to bring his knowledge about natural systems to companies that want to solve sustainability challenges.


Monday December 9, 2019 11:30am - 12:15pm CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

11:30am CST

All the things, All the time, Everywhere! with the Operational Database for 21st Century Applications
Modern applications need access to the most recent data, as well as historical data, at all times to make critical business decisions. Lack of access to data can cost the business millions of dollars, let alone the unknown negative impact to customer experience and satisfaction. To leverage the full value of your data, you need access to all of it, all the time, and wherever it's needed, as well as the necessary capabilities to view, interact, and transform the data for a wide variety of business use cases. In this talk, we will discuss how constant access to data drives business opportunities, and how DataStax Enterprise is architected to provide continuous data availability, geographically distributed, and a rich toolset to interact with data in a myriad of powerful ways.

Speakers
avatar for Brian Hess, MA, MSE

Brian Hess, MA, MSE

Strategic Solution Engineer, DataStax
Brian has been in the data and analytics space for over 20 years, ranging from gov't to data mining research to analytics in EDW and NoSQL engines. Currently, Brian is a Strategic Solution Engineer working with some of DataStax's largest customers.


Monday December 9, 2019 11:30am - 12:15pm CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

11:30am CST

Food is Ripe for an Upgrade
Parasites in your salad. Salmonella in your child's shampoo. Sugar water in your grandmother's insulin shot. Incidents of counterfeit products, contamination, and outright fraud are mushrooming in the food, beauty and pharma sectors — and consumer trust has plummeted to historic lows. But what if your products could talk? Tell you where they came from, and where they've been?

Former Xerox blockchain lead Eric Weaver discusses the growing risks around these very personal products and how IoT and distributed ledger technologies are allowing brands to demonstrate proof of origin, chain of custody, and marketing claims. Attendees will walk away with a deeper understanding of the economic opportunities generated in the food industry when data collection is automated via IoT, gathered via 5G networks, shared via blockchain, and operationalized via artificial intelligence.

Speakers
avatar for Eric Weaver

Eric Weaver

CEO, Transparent Path
Eric Weaver is the CEO and Co-Founder for Transparent Path, a food visibility platform using IoT sensors, blockchain data sharing, and predictive analytics. A 29-year digital transformation veteran, he has been quoted in BusinessWeek, Forbes & Inc.


Monday December 9, 2019 11:30am - 12:15pm CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

12:15pm CST

Lunch
Lunch will be served in the lobby, as well as outside of Elements Cafe.

Monday December 9, 2019 12:15pm - 1:00pm CST

1:00pm CST

The Fate of Food: What We'll Eat in a Bigger, Hotter, Smarter World
Amanda Little, a professor at Vanderbilt University and an award-winning environmental journalist, spent five traveling through a dozen countries and as many U.S. states in search of answers to the question: What will we eat in a bigger, hotter, smarter world? Her journey took her from an apple orchard in Wisconsin and tiny Kenyan cornfields to massive Norwegian fish farms and computerized foodscapes in Shanghai. The race to reinvent the global food system is on, and the challenge is twofold: we must solve the existing problems of industrial agriculture while also preparing for the pressures ahead.

Amanda will share insights from her interviews and adventures with farmers, scientists, activists, and engineers. Her book tells a fascinating story of human innovation, exploring new and old approaches to food production while charting the growth of a movement that could redefine sustainable food on a grand scale. Climate models show that global crop production will decline every decade for the rest of this century due to drought, heat, and flooding. Water supplies are in jeopardy. Meanwhile, the world's population is expected to grow another 30 percent by midcentury. So how, really, will we feed nine billion people sustainably in the coming decades?

Speakers
avatar for Amanda Little, PhD

Amanda Little, PhD

Journalist, Author, Professor, The Fate of Food: What We’ll Eat in a Bigger, Hotter, Smarter World
Amanda Little is a professor of journalism and science writing at Vanderbilt University. She’s the author of The Fate of Food: What We’ll Eat in a Bigger, Hotter, Smarter World, a five-year adventure into the lands, minds and machines shaping the future of sustainable food. Little's... Read More →


Monday December 9, 2019 1:00pm - 1:45pm CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

1:00pm CST

Startup Fireside Chat
Join us for a chat with Brett Brohl, Managing Director of Techstars Farm to Fork Accelerator. Hosted by Stephanie Rich, Editor-in-Chief of Starting Up North, who will talk with Brett about data-driven food startups, the impact technology has on investing in the food and agriculture world, and more.

Moderators
avatar for Stephanie Rich, MBA

Stephanie Rich, MBA

Founder, Starting Up North
Stephanie Rich is the founder of Starting Up North, which aims to tell stories, share insights and provoke interest in the innovation that goes on in Minnesota and surrounding communities.

Speakers
avatar for Brett Brohl, MBA

Brett Brohl, MBA

Managing Director, Techstars & The Syndicate Fund
Brett Brohl is the Managing Director of the Techstars Farm to Fork Accelerator, partnered with Cargill and Ecolab. He is an experienced entrepreneur, investor and mentor, driven by making a difference in the world through helping entrepreneurs succeed.


Monday December 9, 2019 1:00pm - 1:45pm CST
Elements Café (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

1:00pm CST

CTL Data Lake Journey
Speakers
avatar for John Vylasek

John Vylasek

Global Data & Analytics Lead - Cargill Transportation and Logistics, Cargill
Leading global implementation of data, governance and change management of Cargill’s transportation and logistic data.
avatar for Chris Peterson

Chris Peterson

Cargill, Senior Data Analyst


Monday December 9, 2019 1:00pm - 1:45pm CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

1:00pm CST

Grand Farm: Creating the Farm of the Future by 2025
This presentation will discuss the local and global challenges facing the agriculture industry and how the Grand Farm initiative took a community-centered, strength-based approach to identify how our region could contribute to the solutions of these challenges.

Speakers
avatar for William Aderholdt, PhD

William Aderholdt, PhD

Grand Farm Program Manager, Emerging Prairie
William recently completed his Doctor of Philosophy degree at Montana State University where he studied education, focusing on public policy. Now, William researches the sociological implications of future agriculture technology on rural lifestyle.


Monday December 9, 2019 1:00pm - 1:45pm CST
Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

1:00pm CST

The Opportunity and Challenges of Integrating Dynamic Systems into Established Supply Chains
As the logistics and supply chain industry continues to mature, so does the increased desire to integrate new and exciting technologies. Although it is easy to understand the benefits of leveraging these technologies, individuals tend to overlook the challenges associated with integration and adoption. Here, we present the lifecycle of integrating new dynamic systems into established supply chains and the challenges and rewards associated with them.

Speakers
avatar for Jean-Michel Michno, MS, PhD

Jean-Michel Michno, MS, PhD

Principal Data Scientist, C.H. Robinson
Jean-Michel is a Principal Data Scientist at C.H. Robinson working on the development of matching/recommendation systems in the logistics and supply chain industry. Before working at C.H. Robinson, Jean-Michel spent time in agricultural research.


Monday December 9, 2019 1:00pm - 1:45pm CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

1:00pm CST

The Science of Successfully Scaling AI and Advanced Analytics
Hiring a single data scientist is hard enough but how do you scale the successes of small team to an enterprise capability? How should organizations go about finding valuable opportunities and decline others? How should you manage the cultural and organizational aspects involved to deliver consistently? What do organizations need to do to get beyond POC’s that promise value to full-scale implementations that deliver value? Come to this session to hear the perspectives from those that have lived through them.

Speakers
avatar for Kishor Gummaraju, MBA

Kishor Gummaraju, MBA

Chief Customer Officer, Tiger Analytics
Kishor is the Chief Customer Officer at Tiger Analytics. He leads the developing and implementing strategies for client development and growth. Kishor is an engineer and has an MBA from the Indian Institute of Management at Lucknow.
avatar for John Hogue, MS

John Hogue, MS

Data Science Manager, General Mills
I help my team leverage 150yrs of General Mills data to find patterns and solve problems. I lead the development of both early career and seasoned data scientists to enable them to create sustainable and scalable solutions that change how General Mills makes decisions and does business... Read More →


Monday December 9, 2019 1:00pm - 1:45pm CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

1:45pm CST

Break
Monday December 9, 2019 1:45pm - 2:00pm CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:00pm CST

MinneMUDAC Student Expo
At the MinneMUDAC Fall Data Challenge, FarmFemmes provided soybean market data for undergraduate and graduate teams to use in developing a strategy to help farmers decide when is the best time to sell their soybean crop. The teams learned a lot about agriculture, markets, analytics, and presentation skills. Top teams in novice, undergraduate and graduate categories were announced on November 9th.

But the challenge to help farmers market their soybeans didn’t stop there! Teams were invited to take what they had learned through the feedback from judges, peers, and advisors and predict the market close prices throughout the month of November in order to win the opportunity to present at FASTCON. This session will showcase these students and the methods they used in their predictions.

Speakers
avatar for Karen Hildebrand, PhD

Karen Hildebrand, PhD

CTO, Farm Femmes
I am inspired to be part of the solution in feeding the worlds’ population through the adoption of digital expertise in agriculture.
avatar for Teresa Vallotton, MS

Teresa Vallotton, MS

CEO, Farm Femmes
avatar for John Hogue, MS

John Hogue, MS

Data Science Manager, General Mills
I help my team leverage 150yrs of General Mills data to find patterns and solve problems. I lead the development of both early career and seasoned data scientists to enable them to create sustainable and scalable solutions that change how General Mills makes decisions and does business... Read More →


Monday December 9, 2019 2:00pm - 2:45pm CST
Elements Café (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:00pm CST

Augmented Reality Applications in Agriculture
Land O’Lakes operates in hundreds of locations throughout the United States, from manufacturing plants to fields of crops to other farms. In these locations, we have deployed pilots for augmented reality smart glasses solutions to solve the various challenges they face.

Smart glasses are newer technology solutions which can be deployed when phones or laptops may be too obtrusive. This is particularly the case in factory and field settings. In this presentation, we will share various use cases for smart glasses and the results of Land O’Lakes’ pilot efforts to realize the value of smart glasses within the agriculture industry.

Speakers
avatar for Jamie Wang

Jamie Wang

Artificial Intelligence Engineer, Land O'Lakes
Jamie Wang has worked in a wide variety of roles throughout his career. He currently works in Land O'Lakes' Innovation Team, bringing business applications to exciting new technologies.


Monday December 9, 2019 2:00pm - 2:45pm CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:00pm CST

Unleash the Power of Your Data with the Right Data Strategy!
From financial and budgetary information to key performance metrics, business leaders have so much critical data on their hands. But many times, this ever-growing amount of data is viewed as a problem instead of an asset, because data is stuck in systems that don’t talk to each other, manual processes impede data quality, and analytics tools aren’t focused on the KPIs you care about.

Between executives and management expectations and the reality of remaining competitive in the marketplace, the stakes are high across all industries. Successful and growing small to mid-size organizations are putting their data to work to their competitive advantage; and it starts with a Data Strategy.

In this conversation, we’ll discuss:
  • Data Strategy definition and how it can help you achieve your organizational goals
  • Key elements of a Data Strategy and real-life applications
  • The importance of a Roadmap that outlines the “how and when” to achieve your goals

    Join us to learn about the most important step to unleashing the power of your data.

Speakers
avatar for Dave Williams

Dave Williams

Director of Data Strategy, Analytics8
Dave has worked with dozens of companies across the region leverage data for insights that lead to streamlined processes and better decisions. He’s seen just about every stage of analytics maturity and continues to enjoy helping companies improve.


Monday December 9, 2019 2:00pm - 2:45pm CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:00pm CST

Speed Meets Scale: Interactively Analyzing & Visualizing Billions of Rows of Spatiotemporal Data
Data analytics is fundamentally changing: millions of rows are becoming billions of rows (either through more fine-grained collection, or through mash-ups with relevant, third-party data), and geospatial and time series data types are becoming more commonplace. On top of these technical challenges, analysts are also being pushed to make more effective, data-driven decisions in real time, with their data. The shift last decade from legacy databases to in-memory databases helped, but the speed and scale of traditional solutions has not kept pace with these challenges, and the lagging user experience costs time and money for companies that are increasingly data rich but insight poor. In this talk we’ll look at a way to classify this new category of big, visual, interactive data, and look at how OmniSci leverages the fastest hardware (fast memory, fast parallel processing) to run SQL queries hundreds of times faster than traditional tools. We will demonstrate a 10B row dataset, that can be queried in less than 300 milliseconds without any indexing or aggregation of the data.

Speakers
avatar for Aaron Williams

Aaron Williams

VP of Global Community, OmniSci
Aaron is responsible for OmniSci’s developer, user and open source communities. He comes to OmniSci with more than two decades of previous success building ecosystems around some of software’s most familiar platforms.


Monday December 9, 2019 2:00pm - 2:45pm CST
Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:00pm CST

Spotting Sustainability from Space: Detecting and Segmenting Agricultural Features in Satellite Imagery
While technology can help farmers produce more while consuming less resources, also crucial to sustainability are tried-and-true conservation practices and geographic features leveraged to preserve waterways and prevent erosion.  In this session, we explore a proposal and proof of concept demonstrating how neural networks may be used to detect sustainable practices in agricultural fields.  From annotation to model training and image segmentation, learn how Mask RCNN was used to find sustainable features in four Iowa counties.

Speakers
avatar for Rich Bellefeuille, MBA

Rich Bellefeuille, MBA

Director, Data Management, Land O'Lakes
Rich has a bachelor’s degree in Computer Science from St. Johns U. and an MBA from UMN Carlson School of Mgmt. He’s held various data-centric consulting positions and has 15 years’ experience in Agricultural and high-tech Medical Device industries.
avatar for Cort Lunke, MS

Cort Lunke, MS

Big Data Architect, Land O'Lakes, Inc.
Cort has spent seven years at Land O'Lakes, Inc in multiple roles including enterprise integration, big data architecture, and technology innovation. He is also an adjunct instructor in big data and AI at the University of St. Thomas.


Monday December 9, 2019 2:00pm - 2:45pm CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:00pm CST

Supply Chain AI in Action
This presentation will discuss the current state of supply chain management and the use of AI to help make better decisions and also provide an overview of the Scale AI program and how companies can get funding and support for AI projects that accelerate adoption or commercialization of AI in support of supply chain management.

Speakers
avatar for Arthur Mesher

Arthur Mesher

Advisor Office of CEO, Scale AI
Art Mesher is retired CEO of Descartes Systems Group, founder of Gartner Group Supply Chain Practice, received the Supply Chain Distinguished Service Award from CSCMP, inducted to Supply Chain Hall of Fame in 2016, and advisor office of CEO at Scale AI.


Monday December 9, 2019 2:00pm - 2:45pm CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

2:45pm CST

Break
Monday December 9, 2019 2:45pm - 3:00pm CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:00pm CST

The Decade to Deliver
How do more than 1,000 CEOs think we are doing on sustainability? Are we doing enough? Can technology help us accelerate progress?

Time for a reality check. In 2015, world leaders agreed to 17 goals for a better world by 2030. These goals have the power to end poverty, fight inequality and address the urgency of climate change.  Now, almost five years later, CEOs across the globe do not think businesses are delivering at pace. Join Jessica Long, Accenture’s Managing Director for Sustainability and Trust, as she shares insights from the largest ever CEO study on sustainability conducted by Accenture and the United Nations Global Compact. She will explore what leading executives think all companies should be doing to ensure sustainable growth, a more equitable society, and a thriving planet. 

Speakers
avatar for Jessica Long

Jessica Long

Managing Director - Strategy & Sustainability, Accenture


Monday December 9, 2019 3:00pm - 3:30pm CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:00pm CST

Get (a whole lot more than) what you pay for: Making the most of public data sources in agriculture
The agricultural industry in the U.S. is fortunate to have a rich set of public datasets available for analysis. These datasets span multiple areas which are critical for timely and data-driven decision making in agribusiness; everything from crop yield, animal herds, farm operations, commodity pricing, soil surveys, and more. However, the challenge of incorporating these datasets into your organizations can be a daunting one. Domain experts may rely more heavily on their own experience than on data, investments into analysis of public data may not be forthcoming, or technical challenges may limit the value realized from the data. In this session, we will take a broad look at public data sources relevant to agriculture. Additionally, we will look at a real-world business example and data pipeline leveraging the USDA Census of Agriculture.

Speakers
avatar for Cort Lunke, MS

Cort Lunke, MS

Big Data Architect, Land O'Lakes, Inc.
Cort has spent seven years at Land O'Lakes, Inc in multiple roles including enterprise integration, big data architecture, and technology innovation. He is also an adjunct instructor in big data and AI at the University of St. Thomas.


Monday December 9, 2019 3:00pm - 3:30pm CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:00pm CST

Multi-Satellite Remote Sensing of Land-Atmosphere Interactions: Advanced Data-Driven Methodologies for Passive Microwave Retrievals
Satellite Earth observations are increasing at an unprecedented rate, not even conceivable three decades ago, as new satellites have been launched and planned. However, the past quarter-century of outstanding progress in the fundamental technology of remote sensing has not translated into comparable advances in remote sensing of the water cycle. We used a multi-satellite multi-sensor Bayesian methodology for prognostic detection of three key components in the terrestrial water cycle: (1) the extent of flooded regions at a sub-daily basis, which improves the flood forecasting by identifying the soil saturated zones, (2) the precipitation phase (rainfall or snowfall), and (3) water qualities. The proposed approach relied on a nearest-neighbor search based on a weighted distance metric and a modern sparsity-promoting inversion method using observations from optical, short-infrared, and microwave bands, thereby allowing the detection under all-sky (clear and cloudy) conditions.

Speakers
avatar for Zeinab Takbiri, MS, PhD

Zeinab Takbiri, MS, PhD

Data Scientist, Cargill
During her Ph.D. at the University of Minnesota, Zeinab developed models using multi-satellite observations to improve disaster and water resources management. At Cargill, she develops computer vision models across different businesses.


Monday December 9, 2019 3:00pm - 3:30pm CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:00pm CST

Deep Learning for Wheat Harvester
Developing Deep Learning solutions to improve quality and yield of wheat harvester using computer vision technology.

Speakers
avatar for Tim Rosenflanz, MS

Tim Rosenflanz, MS

Machine Learning Engineer, Landing AI
I focus on developing Deep Learning and other ML models across multiple industries with experience in predictive healthcare and agriculture.


Monday December 9, 2019 3:00pm - 3:30pm CST
Omnitheater (access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:30pm CST

Break
Monday December 9, 2019 3:30pm - 3:45pm CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:45pm CST

Productionizing AI: Why No One is Doing it Well, and What it Takes to do it Right
Getting past the POC into Production.  AI doesn't provide any business value until it is deployed to production in a secure, sustainable, self-sufficient, and performant fashion.  However, getting there is typically more challenging than it at first seems, and requires a more comprehensive approach than at first thought.  This talk is to discuss a bit about how to get started and how to continue to see success.

Speakers
avatar for Collin Mechler, ME

Collin Mechler, ME

Enterprise Field Technology Lead, Element AI
Collin leads Field Technology at Element AI, an AI technology and services company.  Collin has expertise how AI impacts enterprise/integration architecture, application security, and digital transformations.


Monday December 9, 2019 3:45pm - 4:15pm CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:45pm CST

Understanding the Nexus of Food-Energy-Water Resources
In the coming decades, the increasing world population is expected to grow the demand for food, energy, and water resources. In addition, these resources will be under stress due to the climate change and urbanization. Previously, more problems were caused by piecemeal approaches analyzing and planning those resources independent of each other. The goal of the food, energy, and water (FEW) nexus approach is to prevent such problems by understanding, appreciating, and visualizing the interconnections and inter-dependencies of FEW resources at local, regional, and global levels. The nexus approach seeks to use the FEW resources as an interrelated system of systems, but data and modeling constraints make it a challenging task. In addition, the lack of complete knowledge and observability of FEW interactions exacerbates the problem. Previous attempts mostly focused on physical science solutions (e.g., desalination, bio-pesticides). No doubt these are necessary and worthwhile for FEW resource security. Overlooked in these work is that data science may help domain scientists achieve their goals for the FEW nexus. In this talk, I will give a brief introduction to the nexus thinking, describe the challenges and provide a vision of the data science's role to understand and solve those issues our Earth faces.

Speakers
avatar for Emre Eftelioglu, PhD

Emre Eftelioglu, PhD

Senior Data Scientist, Cargill Inc.
Emre Eftelioglu is a Senior Data Scientist at Cargill working on geospatial data analytics and computer vision projects. He received his Ph.D. from the Department of Computer Science at the UofM in 2018 with a focus on Geospatial Data Science.


Monday December 9, 2019 3:45pm - 4:15pm CST
Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

3:45pm CST

Computer Vision for Rapid Evaluation of Deoxynivalenol (DON) Levels in Wheat and Barley Seeds from Different Genetic Lines and for Automated Crop Identification for Weed Control
The first part the presentation describes the recent development of machine learning algorithms for rapid determination of deoxynivalenol (DON) levels in wheat and barley seeds from different genetic lines using hyperspectral imaging. As a widely cultivated crop and staple food in the world, wheat (Triticum aestivum L.) is crucial for ensuring food security. Unfortunately, its production is limited by many diseases. Fusarium head blight is one most devastating fungal disease for wheat. Fusarium is a plant pathogen and DON-producer. Many environmental factors affect fungal growth and therefore cereal damage and toxin accumulation, such as temperature, water activity, pH and nutrient composition. It is very important to breed the disease-resistant varieties. To accurately identify such variants, it is particularly important to expose germplasm lines to field pathogens and to assess disease responses for breeders. However, it is impractical to use conventional methods to rapidly and non-destructively assess DON contents in large-scale wheat cultivation. In this study, the hyperspectral image data of over 1000 wheat and barley samples (each sample about 20 g) from over 500 genetic lines with different DON levels were collected, then the DON contents were measured with gas chromatograph-mass spectrometry (GC–MS). The spectral data in reflectance obtained from the images were used to develop multivariate models including partial least-squares regression (PLSR), support vector machine regression (SVMR), locally weighted partial least square regression (LWPLSR), and Artificial neural network (ANN) models. The prediction accuracy of the full wavelength models was tested. Feature wavelengths were chosen based on successive projection algorithm (SPA), and competitive adaptive reweighted sampling (CARS). The selected wavelengths were examined on evaluation of the prediction accuracy of models. The results demonstrate that the hyperspectral imaging and machine learning can be conveniently used to determine DON in wheat and barley seeds.

The second part of the presentation describes the recent development of a novel, systems approach to automated weed recognition in vegetable crops grown under high weed density conditions, typical of organic production systems. It describes the development of a novel seed treatment developed to create a machine-readable vegetable crop plant and matching robotic computer vision system that together can address current challenges that traditional computer vision and machine learning approaches face when attempting to detect and identify vegetable crop plants growing in fields with high weed densities and significant levels of foliage occlusion. Vegetable crops are very susceptible to damage from weed competition, with early season weeds emerging within 3 weeks after crop emergence a control priority to prevent significant yield loss. The objective was to establish an effective computer vision method to rapidly differentiate weeds using Crop Signaling, by identification of Rhodamine B uptake in vegetable crop seedlings as a machine-readable identification trait. This presentation describes a novel computer vision system that was designed with a custom illumination system designed specifically to excite the fluorescence properties of Rhodamine B and image them. Rhodamine B was selected for study because it can be used as a fluorescent tracer, has good systemic properties in plants, and is included on the USA EPA List 4B of inert pesticide ingredients “for which EPA has sufficient information to reasonably conclude that the current use pattern in pesticide products will not adversely affect public health or the environment.” and has been used as a tracer in drinking water and for many biological applications. Study results show that the system can detect and allow visualization of the Rhodamine dye internal to the crop system. The research demonstrates that a Crop Signaling approach, using Rhodamine B can be used by a computer vision system to automatically discriminate weeds from crops.

Speakers
avatar for Wen-Hao Su, PhD

Wen-Hao Su, PhD

Postdoctoral Research Associate, University of Minnesota Twin Cities
Wen-Hao Su is a research associate at University of Minnesota, where he conducts research on crop disease diagnostics and technologies for plant pathogen symptom detection using remote sensing technologies.


Monday December 9, 2019 3:45pm - 4:15pm CST
Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

4:15pm CST

Networking Social
Complimentary beer, wine, and snacks.

Monday December 9, 2019 4:15pm - 6:00pm CST
Lobby Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102