Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
10 stories matching “Artificial intelligence”.
The KI-Reallabor Agrar programme brings ATB into an Osnabrück-led consortium, with five-year funding to develop and test agricultural AI in cooperation with researchers, businesses and farmers.
A June 2020 competition announcement paired agricultural researchers and experienced growers in Yunnan, testing how sensing, greenhouse automation and cultivation knowledge could contribute to strawberry quality and productivity.
In May 2024, BASF reported the launch of Stara’s Imperador 4000 Eco Spray with ONE SMART SPRAY technology, combining onboard weed detection, selective application and digital agronomic records for Latin American farming.
DLG reported 17,000 visitors at its 2024 field exhibition in Germany, where the new FarmRobotix platform connected practical robot demonstrations with crop production, machinery and agronomy discussions.
France’s Agroecology and Digital research programme supported World FIRA’s 2025 scientific symposium, focusing on how robots can adapt to people, complex environments and changing agricultural practices.
A January 2025 announcement brought CropTec’s arable knowledge programme together with LAMMA’s machinery exhibition for 2026, linking technology purchasing with agronomy, profitability and practical farm-management discussions.
Brazil’s Agrishow highlighted automation across several operating steps in 2025, from replenishing a field robot to electric ground spraying and programmed drone missions in agricultural applications.
Aga Khan University and Simon Fraser University are examining how LiteWeed can fit East African farming conditions and community priorities.
An agrifood webinar report proposes easier comparison of AI tools and stronger shared data foundations to address adoption barriers.
A September discussion in Ethiopia examined adoption constraints, recurring costs and the limited evidence base for agricultural AI impacts.
