LEAF DISEASE DETECTION USING IMAGE PROCESSING FOR PESTICIDE SPRAYING

Abstract

Various diseases found on plants can reduce the quantity and quality of the agricultural products.
Identification of plant diseases with naked eye is time consuming and does not give accurate results. Farmers get
affected with various diseases due to long exposure to pesticides. Automatic spraying of pesticides will reduce the health
issues related to farmers. The present work proposes an efficient method to detect the cotton leaf diseases using various
image processing techniques. In this paper we have implemented the image processing techniques using MATLAB to
detect four types of diseases on cotton leaf. Once the disease is detected spraying of pesticides is done with the help of a
robot.