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”.
University researchers report that a LiDAR-based retrofit adapts individual sprayer nozzles to vegetation density and has been used by three vineyard growers.
Researchers are using repeated LiDAR and panoramic mapping to build a vineyard digital twin that reflects seasonal changes affecting autonomous navigation.
Researchers from NTNU and Kilter developed and simulated a multi-robot approach to precision weed treatment. Their results suggest that distributing fieldwork among several AX-1 robots could reduce completion times.
Spanish food-technology centre CTAEX demonstrated a four-legged autonomous platform intended for crop monitoring in vineyards and protected berry production.
CropX launched a smartphone-based vineyard tool that interprets canopy photographs for water-stress assessment and combines the resulting estimates with other agronomic information in its existing farm-management application.
University of Washington researchers combined a global canal map with SWOT satellite observations to assess water levels across extensive Asian irrigation networks, testing a new approach to monitoring agricultural infrastructure.
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.
University of Colorado Boulder researchers tested inexpensive printed sensors that tracked soil acidity across varied soils and operated outdoors for months, advancing continuous monitoring beyond occasional soil sampling.
A greenhouse robotics preprint reports leaf-level spraying on cherry tomatoes, using camera-guided arm movements to reduce applied pesticide volume while measuring targeting error and overspray in twelve autonomous trials.
A research preprint combines tailored fruit vision with simulation-trained robot control, reporting 84.3% overall strawberry harvesting success in greenhouse evaluation and illustrating the remaining gap between reaching and completing a pick.
UCLA and North Dakota State researchers described AgriCruiser, an adjustable open-source robot chassis tested with precision spraying, offering a relatively accessible platform for field experiments and agricultural sensing.
Agtonomy released its third software generation with expanded equipment support, vision-based navigation and connected setup, aiming to extend remote fleet management across specialty crops, turf and open-field operations.
