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Leaf Blight Detection Using Image Processing and Support Vector Machine


Dr. Smitha Shekar .B , Dr.Ambedkar Institute Of Technology; Dr. Harish .G, Dr. Ambedkar Institute Of Technology; M Ila Bhat, Dr. Ambedkar Institute Of Technology; Alankrita Gupta, Dr. Ambedkar Institute Of Technology; Aishwarya .N, Dr. Ambedkar Institute Of Technology


Leaf Disease, Image Processing, Vector Machine


Agriculture sector comprises of 70% of our economy. Thus it is very important for the advancement of technology in the field of agriculture. This in turn will help in sustainable agriculture and health monitoring of the plants in equal intervals. The aim of this project is to using image processing and machine learning for disease detection in order to increase the crop yield production. This in turn will help solve the plight of the farmer. Image processing plays a vital role in the recognition of the diseased and healthy leaves. Machine learning techniques like support vector machine is used for classifying the type of leaf disease and give necessary aid to the plant for recovering from the disease and help inexperienced farmers as well as experienced farmers for faster and accurate detection of the leaf diseases. It also gives the affected region of the leaf disease. Thus allowing the farmers to calculate the fate of the plant.

Other Details

Paper ID: IJSRDV7I30474
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 735-737

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