Cambridge's Tessera tests satellite crop mapping on Senegal's smallholder farms
A study reports 84% crop-classification accuracy using an open-source satellite model, while highlighting limitations in ground data and mixed-crop evaluation.
Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
463 stories matching “AI”.
A study reports 84% crop-classification accuracy using an open-source satellite model, while highlighting limitations in ground data and mixed-crop evaluation.
NASA’s October report links Landsat observations, farmer experience and recent lake-monitoring research to urgent irrigation and land-management decisions in the Texas High Plains.
A new UK robotics adoption programme includes an agri-food hub in Lincoln, connecting businesses with demonstrations, specialist advice and practical support for deploying automation.
Historical example: Carnegie Mellon and Iowa State researchers combined stalk detection, a custom gripper and plant nutrient sensors.
Historical example: A Purdue team connected UAV thermal sensing, image processing and plot-level tables for agricultural research.
Historical example: Team IDEAS led a dwarf-tomato cultivation competition that evaluated production outcomes alongside operating costs.
Historical example: Illinois reported recognition for a compact robot designed to automate plant measurements within crop rows.