• Anandkumar
• Lalitha Y S

Pigeon pea is the major pulse crop of north Karnataka. Detection of disease of pigeon pea is one of the foremost difficult task. Sometimes agricultural consultants ought to take facilitate of varied sources to spot the diseases of plants. The misinterpretations of plant diseases typically lead to wrong chemical choice, ensuing in injury of crops. Hence, in this paper the automated recognition of the diseases at earlier stages is vital in addition as economical for the farmer purpose. In this paper leaf miner and leaf spot diseases of the pigeon pea crop are identified at the earlier stage. To diagnosis the leaf disease, preprocessing techniques applied to resize and enhance the image quality. Then ROI based image segmentation is done to the leaf disease part. For feature extraction, shape and texture features are extracted for the leaf part. Finally SVM technique is used for recognition of type of disease in the leaf part

Pigeon pea crop, SVM, Leaf spot, Leaf minor Diseases

"Pigeon pea crop leaf disease recognition using SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.870-878, February-2019, Available :http://www.jetir.org/papers/JETIR1902F82.pdf

"Pigeon pea crop leaf disease recognition using SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp870-878, February-2019, Available at : http://www.jetir.org/papers/JETIR1902F82.pdf