EMPOWERING FARMERS WITH MACHINE LEARNING FOR PLANT DISEASE DETECTION AND PREDICTION
DOI:
https://doi.org/10.48047/resmil.v13i4.4502Keywords:
neural network, CNN, and machine learning. Computational IntelligenceAbstract
A serious issue that endangers farmers, consumers, the environment, and the world economy is plant disease. Farmers in India lose 35 percent of their harvest when field crops fail owing to diseases and pests alone. As many pesticides are extremely toxic and can be exacerbated by living things, they pose a major risk to human health. With appropriate disease identification, crop monitoring, and customized treatment approaches, these outcomes can be avoided.
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Published
2023-12-19
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PADMA AERPULA ,K.SUPRIYA. (2023). EMPOWERING FARMERS WITH MACHINE LEARNING FOR PLANT DISEASE DETECTION AND PREDICTION. RES MILITARIS, 13(4), 559–567. https://doi.org/10.48047/resmil.v13i4.4502
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