A Transfer Learning based Plant Leaf Disease Detection Method
Agriculture is the most important and fundamental source of domestic income across countries. However, it suffers huge losses due to plant diseases caused by bacteria, fungi, and viruses, which directly affect crop yield and farmers’ income. Ensuring crop security through efficient disease tracking becomes crucial to protecting the quantity and quality of crops. Therefore, identifying plant diseases is crucial. The plant disease can be recognised commonly with the disease in its leafy part. In this paper, we have proposed a transfer learning model which has backbone of InceptionV3. The model is trained and tested on publically available dataset PlantVillage and we have chosen only the Potato and Tomato Plants. The model achieves an accuracy of 98% which is better than existing methods.