Machine Learning and Computer Vision Lead to Smarter, More Precise Crop Management
NORWICH, England, June 12, 2019 — Researchers at the Earlham Institute (EI), working with G’s Growers in Ely, England, have developed a machine learning platform that works with computer vision and ultra-large-scale images taken from the air to help categorize lettuce crops in fields. To quantify millions of in-field lettuces acquired by fixed-wing light aircraft equipped with sensors, the researchers customized the platform, called AirSurf, by combining computer-vision algorithms and a deep-learning classifier