Revolutionizing Agricultural Disease Detection: Conv2D And Unet Models For Chilly Leaf Analysis
DOI:
https://doi.org/10.48047/xmg23067Keywords:
Chilli(Capsicum annuum), 2DCNN, UNET, Deep LearningAbstract
Significant economic losses may happen as a result of the challenges faced by the agriculture industry in tracking down and managing crop diseases. A number of diseases, including leaf spot, powdery mildew, and bacterial wilt, can severely damage chilli crops (Capsicum annuum).
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References
Borhani, Y., Khoramdel, J. and Najafi, E., 2022. A deep learning based approach for automated plant disease classification using vision transformer. Scientific Reports, 12(1), pp.1-10. [2] Yadav, S., Sengar, N., Singh, A., Singh, A. and Dutta, M.K., 2021. Identification of disease using deep learning and evaluation of bacteriosis in peach leaf.Ecological Informatics, 61, p.101247.
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