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- W3136000369 abstract "The plant diseases could be the reason of diseases in different parts of a plant such as leaf, root, and stems; however, leaf is one of the most important parts to be observed to identify and detect infection. In literature, different techniques are proposed to identify and classify plant diseases based on texture, shape, and size of leaf image. Each and every technique utilized automated technologies such as artificial image analysis efficiently. This paper summarized the study of various automated tools, techniques, and computation method used in different stages of plant diseases identification and detection with their pros and cons. With the help of discovery of set of aspect, this paper highlights several points which can be considered for future research direction. This review helps others to grab knowledge of automated applications and techniques used to detect plant diseases." @default.
- W3136000369 created "2021-03-29" @default.
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- W3136000369 date "2021-01-01" @default.
- W3136000369 modified "2023-10-12" @default.
- W3136000369 title "Plant Biotic Disease Identification and Classification Based on Leaf Image: A Review" @default.
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- W3136000369 doi "https://doi.org/10.1007/978-981-15-9712-1_51" @default.
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