Abstract
India is an industrialized country, and about 70% of the residents rely on agriculture. Leaves are damaged by chemicals, and climates issues. An unknown illness is found on plants leads to the lowering of quality of produced. Internet of Things is a practice of reinventing the wheel agriculture by enabling farmers to tackle the problems in the industry with practical farming techniques. IoT helps to inform knowledge about factors like weather, and moisture condition. We proposed IoT, ML, and image processing based method to identify the infection. IOT enabled camera to capture the image then required region of interest is extracted. After ROI extraction, image is enhanced to remove the unwanted details form the image and to improve image quality. We compute image features. At the end we do the classification which is a twostep process training and testing and done by SVM. Our proposed method gives 92% accuracy.
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Vijayalakshmi, S., Balakrishnan, G., Lakshmi, S.N. (2021). Early Prediction of Plant Disease Using AI Enabled IOT. In: Shukla, S., Unal, A., Kureethara, J.V., Mishra, D.K., Han, D.S. (eds) Data Science and Security. Lecture Notes in Networks and Systems, vol 290. Springer, Singapore. https://doi.org/10.1007/978-981-16-4486-3_33
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DOI: https://doi.org/10.1007/978-981-16-4486-3_33
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