Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
305 stories matching “Research”.
Researchers from the University of Virginia, NASA and the University at Buffalo tested drone sensing at Morven, pairing aerial measurements with field observations to evaluate methods for monitoring plant stress and productivity.
MATE and TERRA-COOP completed a cotton-focused project combining neural-network growth-stage recognition with fuzzy decision support, aiming to improve the timing and selection of crop-protection treatments under practical farming conditions.
A Kennesaw State student project combines environmental sensors and local image analysis to monitor crops with limited connectivity. Early testing classified visible lettuce disease; earlier warning remains a development goal.
University of Texas at Austin researchers are developing FarmBrain, a system that keeps immediate robot reactions onboard while sharing more demanding AI processing through nearby computing and private wireless networks.
ICICLE outlined connected agricultural AI demonstrations for Farm Science Review 2026, combining drone scouting, geospatial data, edge computing and tools that help users inspect labels and explore field information.
A University of Bonn-led analysis estimates that smart-farming technologies can be profitable across 42% of global cropland, while showing substantial differences linked to farm conditions, costs and environmental governance.
Carnegie Mellon University outlined how its Robotics Innovation Center will expand outdoor testing for farm robots used in crop sensing and harvesting, reducing reliance on distant agricultural trial sites.
The University of Bonn announced AgriLoop, a Germany–Taiwan research collaboration combining language models, three-dimensional plant perception and human feedback to develop more controllable greenhouse robots.
Michigan State researchers described a two-arm apple-picking robot with three-dimensional vision and soft suction grippers, citing prototype performance while planning a larger multi-module harvesting platform.
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.
University of Vermont Extension demonstrated Greenfield Robotics BOTONY machines on a working farm, highlighting autonomous inter-row mowing, mapping requirements and practical connectivity limits during early research trials.
A 2020 Bonn announcement linked DAAD support with plans for a 2021 international agricultural robotics school involving PhenoRob, ETH Zurich and Lincoln, with sensing and field experimentation central to the curriculum.
