Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
463 stories matching “AI”.
University of Georgia researcher Hongwoo Lee is studying how deep learning could decode and design regulatory DNA, helping scientists alter when and where useful plant traits are expressed.
UGA Grand Farm is developing a 250-acre site in Perry, Georgia, for agricultural technology trials, pairing irrigation and crop infrastructure with industry partnerships intended to support practical evaluation and grower adoption.
Cornell is testing genetically engineered tomato sentinel plants whose colour changes under nitrogen deprivation, examining whether a living sensor can provide useful nutrient information under variable field conditions for growers.
Southern Illinois University brought drone mapping and agricultural AI demonstrations to its July field day, showing growers how aerial observations can support scouting and discussion of site-specific crop management practices.
A University of Georgia podcast introduces precision agriculture through drones, robotics and AI, connecting examples from horticultural research with discussion of efficiency, sustainability and skills needed in agricultural technology careers.
NC State’s AIRS project is developing repeatable drone data collection and analysis across agricultural research stations, with software already released and remotely initiated flights forming a further stage of development.
Kansas State University Extension describes how aerial imagery can speed stand counts and crop-health scouting, while stressing that farmers still need field checks to interpret what drone images show correctly.
University of Missouri researchers developed FieldVision to allocate drone image-processing tasks across onboard, edge and cloud computers, reporting improvements in simulation as networking and computing conditions changed during missions.
The University of Bonn announced Stefano Mintchev’s appointment to advance interactive drones that use flexible structures, tactile sensing and control methods suited to close work in natural agricultural environments.
University of Georgia students are testing FieldLog, a Google-supported AI platform that turns spoken field notes into organised farm records, with farmer feedback guiding its development and deployment.
A four-year collaboration led by the University of Hawaiʻi will combine environmental sampling and AI to investigate earlier warning of biological and chemical threats in food production systems.
Charles Sturt University has developed SkyEye, a drone-based monitoring system that analyses farm imagery and provides alerts intended to help growers identify crop stress, pests and irrigation problems.
