IoT based Automated Plant Disease Classification using Support Vector Machine

Leaf - a significant part of the plant, produces foodusing the process called photosynthesis. Leaf disease can causedamage to the entire plant and eventually lowers crop production.Machine learning algorithm for classifying five types of diseases,such as Alternaria leaf diseases, Bacterial Blight, Gray Mildew,Leaf Curl and Myrothecium leaf diseases, is proposed in theproposed study. The classification of diseases needs front faceof leafs. This paper proposes an automated image acquisitionprocess using a USB camera interfaced with Raspberry PI SoC.The image is transmitted to host PC for classification of diseasesusing online web server. Pre-processing of the acquired image byhost PC to obtain full leaf, and later classification model basedon SVM is used to detect type diseases. Results were checkedwith a 97% accuracy for the collection of acquired images