A SMART IRRIGATION SYSTEM TO IDENTIFY PLANT DISEASE

Abstract

Diseases decrease the productivity of plant. Which restrict the growth of plant and quality and quantity of plant also reduces. Image processing is best way for detecting and diagnosis the diseases. In which initially the infected region is found then different features are extracted such as color, texture and shape. Finally classification technique is used for detecting the diseases. There are different feature extraction techniques for extracting the color, texture and edge features There are also different classification techniques such as Support Vector Machine (SVM), Artificial Neural Network (ANN), Radial Basis Function (RBF) Neural Network.