Abstract
The present agricultural scenario, farmers are suffering from one major problem, which is less crop productivity or crop losses, and farmers suffer a lot due to these losses. Crop losses are caused not just by weeds, but insect damage and plant diseases also contribute a significant amount to this cause. This paper gives some methods and efficient ways of detecting plant illness utilizing image processing and alarming the illness to the farmer by email, SMS and displaying the infection name on the framework users screen display. Also, we have introduced a distinguishing feature which is we do not only show the infection detected to the plant but also provide effective remedies to the farmer so that they can act fast on it.
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Thakur, A., Kulkarni, N.K., Rajwal, T., Deshpande, V. (2021). Smart Leaf Disease Detection Using Image Processing. In: Swain, D., Pattnaik, P.K., Athawale, T. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1311. Springer, Singapore. https://doi.org/10.1007/978-981-33-4859-2_3
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DOI: https://doi.org/10.1007/978-981-33-4859-2_3
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