Deep learning based Rice plant Disease Identification with Transfer learning

Agriculture is the chief food division in India. Mainly most of the peoples are using the rice for food, even in world wide. But the diseases of rice plant threatening the food part. The appropriate recognition and initial prevention of rice leaf diseases are important for cultivating production. Novel method of image recognition with deep learning algorithm will prevent this disaster. The paper presents a deep model architecture to notice such diseases through the leaf of the rice. The model that has formed is trained to analyse diseased leaf and thereafter identify the type of disease from the rice leaf. The paper is planned to use InceptionV3 with transfer learning concept. The outcomes of this paper show that the transfer learning concept for rice leaf disease image recognition presents a speedy and reasonable detection. The accuracy outcomes in the identification of diseases exposed that the presented model is capable and can greatly influence the efficient identification of the diseases.