Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
139 stories matching “EY”.
A 56-hour microscopy sequence from Cambridge captures living mycorrhizal structures in motion, giving researchers a dynamic view of plant–fungal partnerships that static images could not previously provide.
Wageningen researcher Inge de Graaf received a Vidi grant for SAFE-GROUND, a modelling project examining how climate extremes and water demand connect groundwater stress with food production and ecosystems.
University of Canterbury researchers and Australian partners are developing a platform that combines reflected navigation-satellite signals, ground sensors and environmental models to estimate soil moisture across entire farms.
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.
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.
UC Merced researchers are developing materials that absorb ultraviolet light and emit visible wavelengths, exploring whether molecular design can improve greenhouse light management under the Central Valley’s demanding growing conditions.
UC Merced has introduced mobile greenhouse and agricultural-technology trailers to bring practical demonstrations of plant production, sensing, drones and automation to schools, communities and agricultural workplaces across the Central Valley.
Arkansas field trials tested a camera-guided push-cart sprayer for green weeds in dormant bermudagrass, reporting lower herbicide volume than broadcast treatment while exposing the importance of detection conditions and field variability.
A UC Riverside research team combined mobile soil electrical-conductivity measurements with fixed moisture sensors to estimate spatial water variability across an orchard and inform targeted irrigation decisions.
Cornell undergraduates won the 2026 Farm Robotics Challenge with Rootline, a prototype autonomous weeder for orchards and vineyards that uses targeted electric pulses rather than conventional herbicide spraying.
A 2025 IIPA seminar by agricultural equipment specialist Noel Anderson explored how digital farming moved toward finer spatial control—and why the required level of precision deserves scrutiny.
