Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
38 stories matching “NSF”.
A new study reports that plant architecture—including stalk length and fruit position—can markedly affect cucumber-harvesting robot performance.
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.
KUHN introduced the KARAN trailed sprayer with active boom-height control and optional pulse-width-modulated spraying, combining attention to application geometry, individual nozzle control and filling workflows for larger field operations under variable conditions.
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.
Source.ag’s Cloud Modules connect normalized greenhouse data with business intelligence tools and event-driven applications, aiming to simplify information exchange across facilities with different measurement and reporting conventions.
Cambridge researchers combined live imaging and gene-expression mapping to show that fungal structures inside rice roots differ in lifespan and nutrient-transfer activity, complicating simple measures of beneficial colonisation.
Eight Wageningen researchers received Vidi awards, including projects on soil fungi and crop PFAS contamination, recycled phosphorus availability during drought, and groundwater protection for food production.
A University of Idaho-led research collaboration is developing harvest-integrated measurements and AI models to connect crop genetics with stalk strength, aiming to improve breeding for resistance to bending and breakage.
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.
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.
An October registration reminder brings LAND.TECHNIK’s Dresden programme into focus, with agricultural robotics, AI, sensing, machinery safety and electric drives among the themes planned for 10–11 November 2026.
