Agriculture is a major source of income for a very large population in India and a lot of people depend upon it both for
livelihood and consumption of the produce obtained. Therefore, it is a very important sector. Diseases are a major threat to the
crops. Diseases destroy the crop and thus reduce the yield and also the quality of the crops thereby decreasing the profits. The
use of technology in the area of agriculture will reduce manual labor and increase the accuracy by decreasing the amount of
error. The systems developed earlier have just been able to detect diseases of leaves, this system will use image processing and
classifiers which include SVM, KNN and Random Forest to detect the diseases achieving an accuracies of up to 97% and then
additionally a corresponding pesticide spray system based on Arduino UNO board, relay switches and pumps will spray
pesticides according to the disease detected.
