Abstract
Early detection of plant diseases will certainly increase the productivity of agricultural products. In addition, identification of the type of diseases by which the plant leaves are affected is a cumbersome task for human beings. Hence, in recent years, image processing techniques with machine learning algorithms provide an accurate and reliable mechanism to detect and classify the type of diseases in plants. We delivered a comprehensive study on the identification and classification of plant leaves using image processing and machine learning techniques. We presented a discussion about common infections and followed a line of investigation scenarios in various phases of the plant disease detection system. Finally, the problems and future developments in this area are explored and identified. This review would help investigators to learn about image processing and machine learning applications in the fields of plant disease detection and classification system.
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Appalanaidu, M.V., Kumaravelan, G. (2021). Plant Leaf Disease Detection and Classification Using Machine Learning Approaches: A Review. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 171. Springer, Singapore. https://doi.org/10.1007/978-981-33-4543-0_55
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DOI: https://doi.org/10.1007/978-981-33-4543-0_55
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