Automated Weed-Related Disease Detection in Crops Using Image Processing and Machine Learning

Effective management of crop diseases is thus necessary to assure food security andraise agricultural productivity. Weeds provide a regular and harmful threat to crop growth andcomplicate the diagnosis and management of diseases in a timely way, therefore promoting thespread of diseases. This work investigates the possibilities of image processing techniques for theidentification of agricultural diseases connected to weed. Under various lighting conditions, wesort aerial images of crops and weeds taken by many cameras or drones using a deep learningmodel