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Annals of Computer Science and Information Systems, Volume 10

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

Plant Disease Detection Using Different Algorithms

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DOI: http://dx.doi.org/10.15439/2017R24

Citation: Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, Vijender Kumar Solanki, Vijay Bhasker Semwal, Rubén González Crespo, Vishwanath Bijalwan (eds). ACSIS, Vol. 10, pages 103–106 ()

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Abstract. This paper discussing the technique based on digital image processing, which has been utilized for the detection and classification of leaf disease that is present on different agriculture plants. This will help to design different disease control strategy which will be beneficial in agriculture field. Automatic detection and analysis of disease are established on their particular symptoms and the cost intensity is very helpful for farmers. It is a major challenge for the early detection of diseases in agriculture science. An organism like fungi, bacteria, virus etc is the major causes of plant diseases so the enhancement of proper approach in certain areas is very necessary. All these studies are focused on the early detection and classification of the plant lesion diseases.

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