Abstract: The plant disease identification by a visual way is the more laborious task and at the same time less accurate and can be done only in limited areas. Where if automated detected technique is utilized it will take fewer efforts, less time and more accurately. The lemon leaf disease is detected by using the threshold based image segmentation and analyze the features by using the gradient boost algorithm and apply the feature classification through SVM base. The identification of disease in lemon leaves like armillaria root rot, bacterial blast, citrus nematode and etc. The SVM gives the better result for incrementing the precision of detection.
Keywords: MIAS, SVM, Threshold, HOG.
Title: Lemon Tree Disease Detection by Analyzing Lemon Leaf
Author: J.Senthil Murugan, R.Dhanaprabhu, R.Jayabalaji, C.Shinia Hephizibha
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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