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• W2808863119 abstract "India is the agriculture based country, since it contributes 7.68 percent of total global agricultural output. In India, agricultural sector contributes about seventeen percentage of total Indian gross domestic product (GDP). Effective growth and improved yield of plants are necessary for increment of farmer's profit and economy of India. For this purpose farmers need domain experts for manual monitoring of plants. But manual monitoring will not give satisfactory result all the time. Moreover, domain experts are not available at all regions and are expensive as farmers have to pay fees including travelling charges. Hence, it requires developing an efficient smart farming technique which will help for better yield and growth with less human efforts. In this paper, we provide a review on methods developed by various researchers for detection of diseases in plants, in the field of image processing. It includes research in disease detection of plants such as apple, grapes, pepper, pomegranate, tomato etc." @default.
• W2808863119 created "2018-06-29" @default.
• W2808863119 creator A5023357642 @default.
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• W2808863119 date "2017-12-01" @default.
• W2808863119 modified "2023-10-16" @default.
• W2808863119 title "A review on plant disease detection using image processing" @default.
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• W2808863119 doi "https://doi.org/10.1109/iss1.2017.8389326" @default.
• W2808863119 hasPublicationYear "2017" @default.
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