• Ramesh Kumar Singh
• Jasmine Minj

Leaf diseases have grownup to be a problem because it will cause vital reduction in each quality and amount of agricultural yields. Thus, automatic recognition of diseases on leaves plays a vital role in agriculture sector. This paper imparts a straightforward and computationally good technique used for plant disease identification and grading victimization digital image process and machine vision technology. during this paper we are focusing on major fungal and bacterial disease of leaves of plant and also focus given to various soft computing techniques used for detection of such diseases. Finally, we conclude the results of various SVM and decision tree based classifiers on the basis of their accuracies and ROC curve. We found highest accuracy for decision tree algorithm which was 96.8%.

Plant disease, Machine Learning Techniques, bacterial disease, fungal disease.

" Detection of Bacterial and Fungal Leaf Diseases Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.677-684, June 2019, Available :http://www.jetir.org/papers/JETIR1906H75.pdf

" Detection of Bacterial and Fungal Leaf Diseases Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp677-684, June 2019, Available at : http://www.jetir.org/papers/JETIR1906H75.pdf