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”.
John Deere introduced JD, a question-and-answer AI assistant intended to help farmers interpret operational, field and machine information in its existing management platform.
A Wageningen PhD project investigates robots that move their cameras and learn which viewpoint will provide better information about obscured plants.
GEA is expanding robotic batch milking with an installation arrangement intended to make retrofitting existing dairy facilities more flexible.
A three-year study of fruit-growing operations finds that AI-enabled machinery changes agricultural work rather than simply removing the need for skilled people.
The Australian Bureau of Statistics introduced experimental irrigation-water estimates combining satellite observations and environmental models, with a methodological break from earlier survey-based figures that limits direct historical comparisons.
Väderstad has redesigned the row unit shared by Tempo planters and Proceed drills, adding electronic adjustments and prescription-map depth control intended to simplify setup and improve seed placement in variable field conditions.
A published German study tested a thulium-laser robot in organic carrots and beetroot, reporting high mortality among targeted weeds while showing that crop canopies limited overall detection and control.
Priva and Skye have announced a partnership connecting greenhouse climate constraints with energy forecasting and automated market dispatch, beginning in Sweden and the Nordic region before planned European expansion.
A Rothamsted review of 422 studies found that conservation-agriculture practices have different greenhouse-gas effects, with reduced tillage showing more consistent benefits and other practices strongly influenced by environment and management.
USDA’s data-modernisation plan includes a pilot combining improved satellite imagery, crop models and producer information, alongside evaluation of AI and machine learning within upgraded agricultural data systems.
The University of Bonn announced Stefano Mintchev’s appointment to advance interactive drones that use flexible structures, tactile sensing and control methods suited to close work in natural agricultural environments.
UC Merced researchers are developing materials that absorb ultraviolet light and emit visible wavelengths, exploring whether molecular design can improve greenhouse light management under the Central Valley’s demanding growing conditions.
