Abstract
Agriculture plays a major role in the growth of a country. India occupies the second highest rank in the output of farm all over the world. Its development has the potential increase in the Indian economy. But agriculture faces lots of issues in the developing nations. One of the most important factors of which is the different kinds of plant diseases as it not only affects the growth of plants but also affects the production of crops. Identification of the disease with naked eye can be expensive and needs expert’s advice. In this paper, we have discussed various research works and techniques which have been developed a framework to find the defects in plants growth which can also easily identify the leaf disease in plants. It provides better understanding of leaf disease detection using image processing. If this technology is developed further with fast and reliable solutions based on its color, shape and texture to automatically detect diseases. It would be a boon to the farmers and the growth of agriculture.
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Lathamaheswari, U., Jebathangam, J. (2023). A Survey on Plant Leaf Disease Detection Using Image Processing. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 552. Springer, Singapore. https://doi.org/10.1007/978-981-19-6634-7_57
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DOI: https://doi.org/10.1007/978-981-19-6634-7_57
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