Design a System to Classify Diseases of Banana Leaves Using Image Processing Techniques and Machine Learning Algorithms
Harvest development of farming field assumes a significant job. According to customary framework, loss of nourishment is principally because of contaminated harvests, which moderately diminishes generation amount. In this manner, programmed framework identification of plant maladies is a basic research point as it might demonstrate benefits in observing enormous fields of harvest; framework identifies manifestations of infections as they show up on plant leaves. The framework is a product answer for recognition and grouping of plant leaf illnesses. The system is to reduce the utilization of pesticides in agricultural field and moreover increase the quality and measure of yield creation. This paper investigates leaf malady recognition and order utilizing picture handling systems and furthermore we propose ANN calculations to foresee the contaminated region of leaves. Keywords Image Processing Techniques, ANN, SVM, and ANFIS.