• K.Tejaswini
• Ms.P.Sravya
• G V HINDUMATHI

Farmers are backbone of the country and agriculture is the main sector in India from long time ago. Farmers facing a lot of difficulties in identifying the plant leaf diseases. It is not possible to identify the disease of each crop by every farmer because it is hard skill and farmers gain that skill with a lot of experience and it may not accurate every time. Also, not all farmers are experienced and there are wide variety of crop diseases. It may also take so much time for monitoring big forms of crops. Hence image segmentation and neural networks are used for automatic disease detection by using Genetic algorithm and Genetic algorithm. Here Genetic algorithm is used for segmentation and artificial neural networks is used for classifying the diseases. The experimental results shows the combination of both increases the Accuracy of plant leaf disease detection better than Support Vector Machine. The results from Support vector machine classification and artificial neural networks classification are compared.

pre-processing, image classification Support Vector Machine, Genetic algorithm,Artificial neural network

"PLANT LEAF DISEASE DETECTION USING IMAGE SEGMENTATION AND NEURAL NETWORKS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.736-740, June 2019, Available :http://www.jetir.org/papers/JETIR1907Q11.pdf

"PLANT LEAF DISEASE DETECTION USING IMAGE SEGMENTATION AND NEURAL NETWORKS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp736-740, June 2019, Available at : http://www.jetir.org/papers/JETIR1907Q11.pdf