SIU develops a ground robot to image soybean disease beneath the canopy
Southern Illinois University researchers are building a mobile imaging and AI workflow for soybean disease monitoring after aerial cameras missed important views beneath leaves.
Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
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Southern Illinois University researchers are building a mobile imaging and AI workflow for soybean disease monitoring after aerial cameras missed important views beneath leaves.
USDA’s Digital Agricultural Systems Hub combines crop imagery, machine-learning resources and deployable cameras to help move agricultural computer vision from research into practical field tools.
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.
Historical example: A Purdue team connected UAV thermal sensing, image processing and plot-level tables for agricultural research.