Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
137 stories matching “Data”.
John Deere introduced JD, a question-and-answer AI assistant intended to help farmers interpret operational, field and machine information in its existing management platform.
A Wageningen PhD project investigates robots that move their cameras and learn which viewpoint will provide better information about obscured plants.
TYM has introduced an autonomous paddy robot in South Korea that suppresses weeds by stirring water and sediment rather than applying herbicide.
A site-specific cultivator study combines RTK-guided field operation with adaptive-control research and reports 96.5% efficacy measured by tillage length.
Researchers are using repeated LiDAR and panoramic mapping to build a vineyard digital twin that reflects seasonal changes affecting autonomous navigation.
A 2026 research paper investigates a mobile data-collection robot designed to observe individual strawberry plants and support greenhouse harvesting decisions.
A conference paper outlines a vision-guided robotic pollination platform for strawberries grown in multi-tier urban-farm environments.
AGCO used its 2026 field technology event to show how autonomous operations, AI tools and equipment from different brands could work in a connected farm workflow.
Spanish food-technology centre CTAEX demonstrated a four-legged autonomous platform intended for crop monitoring in vineyards and protected berry production.
NASA reported that OpenET expanded its evapotranspiration data and tools across the contiguous United States, extending a service originally focused on western states to support broader agricultural water assessment.
Purdue researchers developed nail-shaped probes that encode soil moisture and salinity in radio-frequency responses, allowing a drone-mounted reader to collect measurements without batteries or electronics inside each sensor.
The Australian Bureau of Statistics introduced experimental irrigation-water estimates combining satellite observations and environmental models, with a methodological break from earlier survey-based figures that limits direct historical comparisons.
