About the Cornell Institute for Digital Agriculture:

Today’s agriculture and food issues present us with grand challenges, both at home and abroad. We expect the world population to exceed 9 billion by the middle of this century. Right now, nearly a billion people around the world still suffer from hunger and poor nutrition. Some estimate that we will need to double our current food production capacity in the next 30 years to ensure that the global population will have access to adequate, wholesome, safe and healthy food. Meanwhile, droughts, floods and temperature extremes undermine global crop production and are expected to increase in frequency.

These factors point to our biggest challenge, which is to provide adequate, safe and nutritious food to meet the needs of a growing global population and to do so without lasting negative effects on the environment.

Our global agriculture and food systems require a radical transformation relying on expertise in multiple areas and research collaborations across disciplines that include agriculture, food safety, engineering, information and computer science, biology, business and the social sciences.

Our exciting research collaboration called the Cornell Institute for Digital Agriculture (CIDA) leverages these strengths. As the only Ivy League university with a Land Grant mission, Cornell directs its research to enhance the lives and livelihoods of the people of New York State and others around the world.

CIDA was launched in 2017 as a contemporary application of this mission. More than 100 faculty from across Cornell’s colleges – Agriculture and Life Sciences, Engineering, Computing and Information Science, Arts and Sciences, Veterinary Medicine and Business – have come together to develop a robust research agenda for CIDA, weaving unmatched excellence into holistic solutions for food and agriculture. CIDA’s mission is to inspire learning, catalyze innovation, and integrate fundamental discoveries to achieve new levels of sustainability in agri-food systems and new food for thought.

About the 4th Annual Workshop:

CIDA hosts an annual research-oriented workshop to help drive thought and research around Digital Agriculture and the future of our agri-food systems. The workshop showcases projects awarded through our Research Innovation Fund (RIF) which provides seed grant funding to innovative, cutting-edge interdisciplinary research from Cornell faculty and students. Researchers and students from the Colleges of Engineering, Life and Agriculture Sciences, Business, Veterinary Medicine, Arts and Sciences, and Computing and Information Science participate in this cross-college initiative. Keynote speakers and panelists from academia, industry, non-profits, and diverse private sector enterprises provide unique perspective and vibrant discussion around annual themes.

The workshop is a one-day convergence of thinkers, stakeholders, and practitioners interested in Digital Agriculture. It is a key opportunity to get an early view of digital agriculture research at Cornell and to engage with the Cornell community. Networking opportunities provide external stakeholders with a chance to discuss their own interests in Digital Agriculture.

Speakers

Keynote: “Dairy Brain: Informing Decisions on Dairy Farms using Data Analytics”

Dr. Victor E. Cabrera
Michael C. Ferris

Panel: "Connecting dots in DA - from basic concept to digital solutions"

Abraham Stroock

Chemical and Biomolecular Engineering, COE

Ed Mabaya

Global Development, CALS

Kirstin Petersen

Electrical and Computer Engineering, COE

Sarah Pethybridge

Plant Pathology & Plant-Microbe Biology, AgriTech, CALS

Phoebe Sengers

Information Science, CAS/CIS

Steve Thomson

USDA-National Institute of Food and Agriculture (NIFA)

Agenda


All Day

11:00-11:30am

Welcome from CIDA leadership and College Deans

Susan McCouch
CIDA Director

Benjamin Houlton
Ronald P. Lynch Dean of the College of Agriculture and Life Sciences (CALS)

Lynden Archer
Joseph Silbert Dean of Engineering (COE)

Lorin Warnick
Austin O. Hooey Dean of Veterinary Medicine (CVM)

Kavita Bala
Dean of the Faculty for Computing and Information Science (CIS)

 11:30-11:45pm

CIDA update

Susan McCouch
CIDA Director



 11:45-12:35pm

Research Innovation Fund (RIF) presentations

Improving strawberry yield through native and robotic pollinators

Kirstin Petersen COE
Scott McArt CALS

New soil robotics and sensing for soil-root phenotyping of water-use effectiveness

Taryn Bauerle CALS
Robert Shepherd COE
Michael Gore CALS
Johannes Lehmann CALS
Abraham Stroock COE

Microbiome-informed computational models and decision support tools to predict fresh produce
Spoilage: Spinach as a model system

Martin Wiedmann CALS
Renata Ivanek Miojevic CVM

Accelerated and automated stress diagnostics in apple orchards

Awais Khan CALS
Serge Belongie CIS
Noah Snavely CIS

Carbon farming: Combining machine intelligence, big data, and process models to support this emerging sector

Dominic Woolf CALS
Johannes Lehmann CALS
Fengqi You COE

Accelerating the application and adoption of remote sensing decision support in Northeastern viticulture

Katie Gold CALS
Rowena Lohman COE
Justine Vanden Heuvel CALS
Ying Sun CALS
Terrence Bates CCE
James Meyers CALS
Jennifer Russo CALS
Jennifer Russo CALS
Amelia Wise CCE
Hans Walter-Peterson CCE
Yu Jiang AgriTech

In Situ Nuclear Magnetic Resonance Monitoring for Improving Cassava Root Quality

Amal El-Ghazaly COE
Michael Gore CALS
 12:35-1:05pm

Lunch

 1:05-1:35pm

Research Innovation Fund (RIF) presentations

Function-targeted high-resolution phenotyping platform to deduce genetics-functions relationships in rhizomicrobiome for promoting plant nutrients utilization

April Gu COE
Jenny Kao-Kniffin COE
Kilian Weinberger CIS

Scalable digital sensors of the skies and soils: An internet of things approach to improve farm-scale weather forecasts of extreme heat, drought, and rainfall

Toby Ault CALS
Max Zhang COE

Development of predictive models to accurately detect subclinical and clinical mastitis in dairy cows milked with automated milking systems

Rick Watters CVM
Kristan Reed CALS

Remote-sensing based framework for farm-scale in-season crop yield forecast

Ying Sun CALS
Carla P. Gomes CIS
Ariel Ortiz-Bobea JCB

StraBot: A soft, dexterous soft manipulator with hybrid sensing for strawberry harvesting and monitoring

Robert Shepherd COE
Marvin Pritts CALS

Automating management of teat tissue condition in dairy cows through machine learning

Parminder Basran CVM
Kilian Weinberger CIS
Ian Porter CVM
Matthias Wieland CVM
Julio Giordano CALS
 1:35-1:45pm

National Research Traineeship (NRT) presentation and student introductions

Abraham Stroock
NRT co-PI

Trainees:

Barituziga Banuna COE
Savanah Dale CALS
Mohamed El-Walid CALS
Larissa Gaul COE
Brandon Roy CALS
Gloire Rubambiza CIS

Research Innovation Fund (RIF) presentation and student posters


Renata Ivanek Miojevic RIF Committee

Students:

Akshay Ajagekar COE
Hilary Faxon CALS
Hannah Rosenthal CALS
Sriya Sunil CALS
 1:45-1:55pm

Break

 1:55-2:40pm

Keynote - Dairy Brain: Informing Decisions on Dairy Farms using Data Analytics

Victor Cabrera
University of Wisconsin-Madison
Michael Ferris
University of Wisconsin-Madison
 2:40-2:45pm

Break

 2:45-3:30pm

Panel - Connecting dots in DA: from basic concept to digital solutions

Moderator:

Abraham Stroock
Chemical and Biomolecular Engineering, COE

Panelists:

Ed Mabaya
Global Development, CALS
Kirstin Petersen
Electrical and Computer Engineering, COE
Sarah Pethybridge
Plant Pathology & Plant-Microbe Biology, AgriTech, CALS
Phoebe Sengers
Information Science, CAS/CIS
Steve Thomson
USDA/NSF FACT program
Hakim Weatherspoon
Computer Science, CIS

Sponsors

Frequently Asked Questions

Yes, registration is required to participate. There is no cost to attend.
No. Software installation is not required to attend. An internet connection is the only requirement.
Login instructions will be emailed to you ahead of the event.
This is an online event. You do not have to travel to any specific location. You can participate anywhere that you have Internet access. The event is accessible from desktop, mobile and tablet devices.
Additional questions can be sent to Gabriela Cestero gc423@cornell.edu.