Deep Learning Techniques for Accurate Classification of Rice Diseases: A Comprehensive Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66329-1_29
Reference33 articles.
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3. Sethy, P.K., Barpanda, N.K., Rath, A.K., Behera, S.K.: Image processing techniques for diagnosing rice plant disease: a survey. Procedia Comput. Sci. 167, 516–530 (2020)
4. Singh, V., Misra, A.K.: Detection of plant leaf diseases using image segmentation and soft computing techniques. Inf. Process. Agric. 4, 1–6 (2017). https://doi.org/10.1016/j.inpa.2016.10.005
5. Shrivastava, V.P.: Rice plant disease classification using transfer learning of deep convolution neural network. ISPRS – Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci. XLII-3/W6. https://doi.org/10.5194/isprs-archives-XLII-3-W6-631-2019
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