ABSTRACT
PROJECT OUTPUT
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Agriculture is the major sector in India. About 58% of the rural livelihood influenced by in agriculture. Out of which tomato is one of the common food crops in India. Due to which detection of disease on tomato plant becomes important because less susceptibility. The plants productivity gets affected if proper care is not taken. Image processing is one of upbringing technology which is helping to resolve such issues with various algorithms and techniques. Most of the diseases of tomato disease detected at initial stages. By detecting the diseases at initial stage on tomatos will surely avoid impending loss. In this project four key diseases are identified using image segmentation and Multi-class SVM algorithm. For parting of damaged area of tomato image segmentation is used and for classification of accurate disease Multi-class SVM algorithm is used.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
