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- W4211068821 abstract "Leaf-based diseases are an indication of the yield quality for many farming sectors. These sectors include banana farming, mango farming, and many others. In order to improve the quality of yield, detection and prevention of these diseases is of the utmost importance. Thus, various image processing solutions have been proposed over the years for effectively detecting leaf-based diseases. In this chapter, you will learn about the different image processing steps needed for effective plant leaf disease detection. This chapter also discusses the effects of leaf texture, colour, shape, and boundary information for improving the accuracy of the leaf disease detection system. This text compares some state-of-the-art systems, and it also recommends readers to further implement these techniques." @default.
- W4211068821 created "2022-02-13" @default.
- W4211068821 creator A5052567000 @default.
- W4211068821 date "2022-02-11" @default.
- W4211068821 modified "2023-09-25" @default.
- W4211068821 title "Application of Image Processing in Plant Leaf Disease Detection" @default.
- W4211068821 doi "https://doi.org/10.1201/9781003221333-17" @default.
- W4211068821 hasPublicationYear "2022" @default.
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