Survey Towards Android Application for Plant Disease Detection using Deep Learning Approach

Survey Towards Android Application for Plant Disease Detection using Deep Learning Approach

Prof. Shegar S. R 1, Sakshi Rokade2,Yash Thikekar3,. Prajakta Raut4

Lecturer, Dept. of Computer Engg., Samarth Group of Institutions College of Engineering , Belhe, Maharashtra, India1

Student, Dept. of Computer Engg., Samarth Group of Institutions College of Engineering , Belhe, Maharashtra, India2-4

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Abstract -  India is a vast country where agriculture is primary occupation for people. Agriculture produce depends on crop and crop yield produced from farming. Crop yield majorly depends on growth and quality of plants. The plants need to be disease free to have good produce from farming. Taking same into consideration the system is designed to detect the plant disease in plants. The android application is created which is integrated with ai- chat and pesticide recommendation for farmer. The convolutional neural network is used for classification of plant disease. The application helps to recommend the pesticide to be used for specific disease detected. The farmers can use the application for any other query which is designed for chat. The application also includes the plant care calendar which helps farmer for regular plant care through which the growth and quality of plant can be maintained for high accuracy.

Key Words:  Android Application, Image Processing, Deep Learning ,Plant Disease, Plant care.