From 2022-2023, Cornell AgriTech pursued a vigorous research agenda for digital agriculture (DA) with the goal of transforming agriculture through the development of scalable and practical innovations for farms in New York state and beyond. Through the use of new and advanced technologies that autonomously collect, integrate and transmit information, our faculty are identifying ways to more precisely and sustainably manage specialty crops.
Highlights for DA over the past year include alignment with NASA specialty crop research initiatives, using robots to modernize the grape and wine industry, partnering with seed researchers to better differentiate weeds from crops, and supporting Cornell University’s College of Agriculture Roadmap to 2050 by using DA to create more resilient food systems.
Examples of DA used for research:
- Autonomous robots
- Integrated satellite sensing and AI systems
- Drones
- Smart sensing networks
- Imaging spectrometers (also known as hyperspectral sensors)