Abstract
There is a growing concern among sugarcane producers to improve the productivity and reduce losses due to infestations of pests, diseases, weeds and failures derived from mechanized operations, which directly affects the development of the crop. The current methods for identifying areas of low productivity are based mainly on images collected by UAV (Unmanned Aerial Vehicles). However, th…