Every nation’s economy depends heavily on agriculture and India is recognised as an agro-based country. To produce healthy crops with free of disease is one of the primary goals of agriculture. In terms of income, cotton is a key crop in India. The largest producer of cotton in the world is India. Early leaf drop or diseases known as “Leaf Lesions”, “Bacterial Blight”, “Curl Virus” or “Fusarium wilt” can harm cotton harvests. We use a Deep Learning technique called the Convolutional Neural Network (CNN), which can rank different features and objects in a picture and make distinctions between them. This paper highlights the various works and a comparative study of those works carried out by the researchers in recognizing the cotton plant Diseases.
CITATION STYLE
Chethana, H. T., Shrivatsa, G., Shrisha, P., Koppal, V., & Naveen, H. N. (2024). Cotton Plant Disease Detection: A Review. In Lecture Notes in Electrical Engineering (Vol. 1096, pp. 153–160). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-7137-4_14
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