Super-pixel segmentation and saliency based plant leaf disease detection using SVM

ISSN: 22773878
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Abstract

The highest source of income received by India is only through the agriculture. Therefore, it is mentioned as Indian economy is mostly dependent on the outputs of the farming or the agriculture. This is the reason why detection of diseases present in the plants plays a precious role in the field of the farming. If the care is not taken perfectly to the plants, then it creates a highest loss on farming by which the economy of the India gets decreased. Hence for effective identity of diseases now-a-days developers are producing few of the automatic methods or ideas which are profitable for farmers and farming through which monitoring in the lengthened farms becomes very easier. It happens because of the advanced technology utilized, this technology identifies the diseases in the earlier stage only, even capable of identifying the type of disease occurred to that particular filed. An algorithm is mentioned in this paper which is for the technique of image segmentation, which is being utilized for automatic detection of the diseases occurred on leafs of the plants. Image segmentation plays a key role for detecting the diseases in the leaf of the plants. This can be achieved by utilizing an algorithm known as genetic algorithm. This paper gives an explanation about this genetic algorithm.

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APA

Narayana, B. V., Ravi, K. S., & Krishna, P. G. (2019). Super-pixel segmentation and saliency based plant leaf disease detection using SVM. International Journal of Recent Technology and Engineering, 7(6), 710–714.

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