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Digital Agriculture - Research Highlights

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Controlled Environmental Agriculture

Controlled Environment Agriculture in Metropolitan Areas

Jan 18, 2018

Controlled environment agriculture (CEA), such as greenhouses, plant factories, and vertical farms, may be a viable alternative to conventional field-based production of vegetables for supplying metropolitan areas. This project will develop tools to assess the economic viability and sustainability of CEA operations, and guide their development in urban areas. Researchers: Neil Mattson, Miguel Gomez, Anusuya Rangarajan

Using Touch Sensitive Soft Robots to Improve Vineyard Management

Jul 7, 2017

This project aims to develop an automated vineyard system to accurately determine vine yield, leaf area to fruit ratio, and cluster integrity based on touch-sensitive soft robots (rather than the industry standard of computer vision), accurately estimating grape vine yields prior to harvest. Researchers: Kirstin PetersenJustine Vanden Heuvel.

E-synch: Improving Cattle Reproductive Management

Jul 6, 2017

The easy-to-use E-synch device will reduce the hassle of reproductive management of dairy cows, using sensors to closely monitor individual animals and customize the protocols for their reproductive cycle in real-time. An electronically controlled, reusable device will deliver reproductive hormones automatically. This project aims to help balance and optimize the productivity and health of millions of cows around the world. Researchers: Julio Giordano, David Erickson

Using Micro Water Sensor to Manage Irrigation in Apple Orchards

Jul 5, 2017

This project is developing an integrated digital solution for optimizing irrigation in apple orchards, using a micro water stress sensor technology - the microtensiometer - recently developed by Cornell. This tiny and inexpensive chip combined with smart technology systems collecting and interpreting the data it provides, will serve as a foundation for the next generation of automated irrigation systems, delivering water only where it is needed. Researchers: Abraham Stroock, Lailiang Cheng, Alan Lakso

What Keeps Farmers from Adopting Digital Agriculture?

Jul 4, 2017

This study aims to uncover the concerns farmers might have when deciding to adopt new precision agriculture technologies, focusing on how novel forms of data collection and information flow have raised questions about privacy and the distribution of the resulting economic benefits. Researchers: Solon Barocas, Harold Van Es, Karen Levy

Smart Agriculture Through Big Data-driven Optimization

Jul 3, 2017

The connections between agriculture, economics and sustainability are complex, and so are the ever-increasing streams of available data. This project aims to advance climate-smart farming, optimize crop insurance and promote conservation agriculture by combining data-driven optimization and advanced machine learning techniques with digital agriculture data. Researcher: Fengqi You

Facilitating Access to Complex Climate and Weather Data

Jul 2, 2017

The Northeast Regional Climate Center (NRCC) has developed the Applied Climate Information System (ACIS) that allows users to easily access a wide range of weather observations, climate projections and weather forecasts. NRCC staff is developing an array of decision tools, including a database of past weather forecasts to allow researchers and users to assess and improve the accuracy of forecasts. The team focuses on improving resolution of data and regional relevance. Researchers: Arthur DeGaetano, Madeleine Udell
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Intelligent Lighting Systems in Greenhouses

Mar 21, 2017

The Greenhouse Lighting and Systems Engineering (GLASE) consortium is advancing LED light engineering, plant photobiology, carbon dioxide enrichment and systems control to create intelligent systems that can dramatically reduce the energy cost and carbon footprint of horticultural lighting. Researcher: Neil Mattson.
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Using Drone NDVI Imaging to Manage Nitrogen and Yield

Mar 20, 2017

This project is evaluating the use of drone-generated NDVI (normalized difference vegetation index) maps as tools for predicting yield and nitrogen needs of corn and forage sorghum. The team is developing a standard operating procedure for using drones to collect NDVI imagery to ensure consistent, actionable data under changing light and growing condition. Researchers: Quirine Ketterings and Elson Shields
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Smart Tools for Apple Growers to Protect Crops

Mar 19, 2017

Apple freeze-risk decision tool helps apple growers to protect their crops against spring freezes: When a frost hits after a warm spell, apple producers begin to see damage to the developing fruit. The easy-to-use, online tool considers the exact location, the apple variety, and the stage of bud/bloom development to assess the risk of freeze damage. Researcher: Art DeGaetano
Freeze-risk decision tool
Sustaining NY Apple Production in an Age of Climate Change (video)