Automatic Leaf Disease Identification and Classification using Image Processing and Python


  • B. Siva Prakash
  • S. Magesh


Few years back to develop and maintain a agriculture field is takes more man power. The farmer wants to maintain the crops periodically, whether the crops get affected by the disease or spots in the leaf. This can reduce the crop yields and affects the quality. The main symptoms are the change in colour and the dark spots in the leaf. The yielder can finds by the symptoms the plant gets affected by some disease to find out which kind of disease pathogen detection has been done manually it takes more time and consumes man power. To made this disease identification work simple in this paper they proposes the identification of disease by images.  The images undergoes three stages preprocessing, training and identification. By using the python language the identification made simple. In paddy downey mildew can cause major defects.