PLANT LEAF DISEASE DIAGNOSIS APPLICATION USING ARTIFICIAL INTELLIGENCE
Plant Leaf Disease Diagnosis application – The project presents leaf characteristics analysis using image processing techniques for automated vision system used at agricultural field. In agriculture research of automatic leaf characteristics detection is essential one in monitoring large fields of crops, and thus automatically detects symptoms of leaf characteristics as soon as they appear on plant leaves.
The proposed decision-making system utilizes image content characterization and supervised classifier type of neural network. Image processing techniques for this kind of decision analysis involves preprocessing, feature extraction and classification stage.
At Processing, an input image will be resized and region of interest selection performed if needed. Here, color and texture features are extracted from an input for network training and classification. Color features like mean, standard deviation of HSV color space and texture features like energy, contrast, homogeneity and correlation.
The system will be used to classify the test images automatically to decide leaf characteristics