PLANT DISEASE IDENTIFICATION THROUGH IMAGE PROCESSING AND PROVIDING SOLUTION THROUGH EMBEDDED SYSTEM

ELECTRONICS AND COMMUNICATION ENGINEERING

Rice is the most important and a primary source of food in Asia especially in the India. However, rice may lose its quantity and quality when rice is attacked by different insect pests. Therefore, it is a top priority to find effective methods to reduce the level of their infestation in the paddy fields. In agriculture, pest control has always been considered as the most challenging task for farmers. Most of the farmers used the traditional pest management methods which is the regular spray program based on schedules rather than the presence of insect pests on the paddy fields. This project deals with the design and implementations of Identification of plant diseases and providing the necessary solution using hardware design. Various Algorithms like HSI color modulation , L*a*b* Color model , k-means clustering algorithm and GLCM algorithm to detect the disease and calculate the total defective part .The classification is done by comparison of the extracted feature and the trained dataset using a SVM Classifier. Then the classified disease output is imported into an Embedded System to provide the necessary solution.

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