Mobile Based Application For Tea Leaf Disease Detection

Tea plant leaf diseases are one of the grand challenges that face in agriculture sector worldwide. In India approximately 20% to 30% of the leaves are lost due to various diseases each year. Tea leaf disease identification is challenging for limited-resources farmers if performed through optical observation of plant leaves symptoms. Therefore, it is important to catch the spread of the disease can spread of the disease in its early stage before they reach epidemic proportion otherwise the disease can spread quickly throughout the entire plantation resulting in huge losses for the farmers. To aid the farmers in the crucial task of identifying tea leaf diseases in its early stage. it is practical to have an intelligent system for detection,identification and classification system in place as a preventive measure. This proposed model is a ML powered mobile based system to automate the plant leaf disease diagnosis process. The developed system uses CNN for feature reduction and classifying five diseases categories. The user interface is developed as a mobile application, allowing farmers to capture a photo of the infected Tea plant leaves. Captured image is then uploaded into the Database and then into the algorithm by specifying image path.It then displays the disease category and symptoms of disease along with the confidence percentage.This solutionwill be user friendly and will perform in an effective and efficient manner. It is expected that this system would create a better opportunity for farmers to keep their crops healthy and eliminate the use of wrong fertilizers that could stress the plants.