Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
44 stories matching “Tea”.
Philippine field research links aerial measurements with plant physiology across 318 rice accessions, offering a faster way to compare breeding material.
Australian cotton researchers are combining aerial sensing methods to distinguish crop performance and disease stress that ordinary photographs can miss.
KALRO and CGIAR partners are combining historical trials and machine learning to develop maize nutrient recommendations adapted to local conditions.
A Cornell-led collaboration will develop robotic orchard operations while examining affordability and adoption, supported by a new USDA Specialty Crop Research Initiative award.
Southern Illinois University researchers are building a mobile imaging and AI workflow for soybean disease monitoring after aerial cameras missed important views beneath leaves.
Cambridge researchers report a major increase in laboratory screening capacity by automating images of plant-parasitic nematodes, with crop applications still a next step.
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.
