2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) 2021
DOI: 10.1109/icicv50876.2021.9388538
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Deep Learning model for early prediction of plant disease

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Cited by 9 publications
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“…However, the range of plants and different variants of images, it has covered in samples is outstanding. This has inspired the author to create own database for sugarcane plant which best fit for the requirement of farmer community [27] . Researchers have collected 2000 images of wheat leaves for the identification of diseased plant leaves.…”
Section: Datasetsmentioning
confidence: 99%
“…However, the range of plants and different variants of images, it has covered in samples is outstanding. This has inspired the author to create own database for sugarcane plant which best fit for the requirement of farmer community [27] . Researchers have collected 2000 images of wheat leaves for the identification of diseased plant leaves.…”
Section: Datasetsmentioning
confidence: 99%