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”.
ESA and the WorldCereal consortium presented global crop products in an April 2023 webinar, showing how Sentinel and Landsat observations support seasonal crop-type mapping and an interactive viewer.
Bayer announced a March 2024 pilot trained on internal agronomic knowledge and trial information, working with Microsoft and EY to explore faster support for agricultural advisers and company teams.
Syngenta announced Cropwise AI in September 2024, combining agronomic models and a multilingual language interface, initially serving selected customers in the United States and Brazil.
Microsoft Research presented FarmVibes.AI in October 2022, providing models and workflows that combine field sensors, weather and aerial imagery to support agricultural analysis and new research applications.
The May 2024 EO for Agriculture Under Pressure workshop brought scientists, agencies and users together in Italy and online to discuss crop monitoring, operational services and integration with field data.
NASA, IBM and Forschungszentrum Jülich released an expanded open-source geospatial foundation model in December 2024, supporting applications such as crop classification, cloud-gap reconstruction and land monitoring.
Team AuTomatoes won the second Autonomous Greenhouse Challenge in 2020, with the competition assessing cultivation results, resource use and the robustness of AI strategies for remotely managed cherry tomatoes.
University of Almería researchers released GREENBOT data combining lidar, stereo imagery and inertial measurements from a tomato greenhouse, creating a research resource for localisation and mapping under changing crop conditions.
Bonsai Robotics has launched Bonsai World, a simulation application that turns satellite imagery into virtual environments to help train autonomous machines before deployment in unfamiliar conditions.
ATB agromechatronics researcher Cornelia Weltzien received the VDI Max-Eyth commemorative medal, recognising her contribution to agricultural digitalisation and training the next generation of agricultural engineers and researchers.
ATB and the Ferdinand-Braun-Institut integrated Raman spectroscopy into a mobile soil platform, demonstrating measurements during movement and opening a route toward more detailed maps for future precision fertilisation.
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.
