Digital Phenotyping

Digital phenotyping in sugarcane for yield prediction in final variety competition trials and best management practices for commercial production. Our mission is: “Help customers in decision making in final variety competition trials and agriculture best management practices”. Model based on machine learning techniques (Random Forest, ANN, CNN and others) using vegetative indices, extracted directly from the images, together with field data to predict productivity.