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”.
The ATLAS project documented an interoperability network linking farm software, machines and sensors, including analytical services for fertilisation management, irrigation, livestock monitoring and satellite-data analysis.
A 2023 certificate course combined human-centred design, data science and crop modelling, connecting students in India with expertise from CGIAR centres and agricultural research partners.
CropX announced Apex in April 2026, a configurable multi-depth sensor that measures soil water content, temperature and electrical conductivity at four-inch intervals and connects to its agronomy platform.
CropX introduced Strato 1 in March 2025, adding a connected in-field weather station to its agronomy platform so growers can view local weather alongside soil and crop information.
Planet announced Crop Biomass Version 5 in March 2026, using PlanetScope as its main optical input to increase spatial detail and improve the responsiveness of its daily analysis-ready signal.
An MIT project profiled in March 2023 combined satellite observations, weather data and machine learning to investigate plant responses to drought, with more detailed forecasting tools as a research goal.
New Zealand announced support for a NZ$5 million asparagus-robotics project in September 2021, linking university research, Robotics Plus and growers in an effort to reduce dependence on seasonal picking labour.
GEA plans to show a redesigned DairyRobot R9500 at EuroTier 2026 in Hanover, combining revised controls and milking features with expanded digital herd-management functions ahead of deliveries planned for 2027.
Wageningen’s 2026–2027 AGROS II project is developing crop sensing and control methods for autonomous greenhouses, comparing a digital-twin approach, trained AI and expert-led data-driven cultivation in cucumber crops.
Source.ag launched Irrigation Control in March 2024, using historical data, predictive models and live measurements to turn growers’ irrigation targets into settings for existing greenhouse climate computers.
Lely’s June 2025 launch combined an updated Astronaut milking robot, central services for larger installations and a farm data-security device, with availability varying by product and market.
The University of Guelph’s GIGAS system uses deep learning to identify tomatoes and guide a specialised gripper, with longer greenhouse trials identified as the next step toward commercial viability.
