Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
75 stories matching “MIT”.
An NSF-supported collaboration involving Texas A&M, Michigan State and the University of Michigan will investigate coordinated aerial and ground robots for apples obscured by dense orchard canopies.
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.
The JaetRobi project combines camera-based plant recognition with a precisely positioned blue laser, targeting young weeds close to vegetable crops while researchers address speed and reliability.
Meraque’s 2022 RACE announcement extended its plantation automation work from drones to ground vehicles, with spraying prototypes and a staged plan for larger payloads and coordinated fleets.
Monarch’s December 2022 production launch put electric, driver-optional MK-V tractors into a customer fleet, with NVIDIA describing how onboard cameras and Jetson modules supported navigation, monitoring and implement-related applications.
Dogtooth’s strawberry-harvesting robot appeared at the 2023 Global Investment Summit, bringing a commercial agricultural-robotics example into a UK investment showcase and highlighting automation for tabletop fruit production systems.
Australia’s Clean Energy Finance Corporation committed A$7 million to SwarmFarm Robotics in October 2025, supporting production of lightweight autonomous platforms used for spraying and other agricultural work with interchangeable attachments.
JKUAT’s October 2024 Robotics Dojo showcase focused on laser-sensor navigation, building local engineering skills relevant to future agricultural machines while remaining an educational prototype competition.
A February 2024 university report describes a solar-powered monitoring and control approach for avocado oil machinery, developed for settings where reliable grid electricity and labour-saving infrastructure are limited.
The CaSSECs collaboration examined drones as an intermediate observation scale between ground measurements and Sentinel-2 imagery, seeking better estimates of dry forage biomass across heterogeneous Senegalese landscapes.
The European project combined soft gripping and machine vision in a harvesting prototype, with trials in Greece and Ireland revealing both successful picks and the impact of real facility constraints.
A Wageningen report on the European harvesting robot documented faster pepper picking while highlighting the continuing limits imposed by cycle time, foliage, clustered fruit and access within greenhouse rows.
