Machine Learning Technique for Deteching Leaf Disease
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59097-9_3
Reference13 articles.
1. Vasantha, S.V., Kiranmai, B., Rama Krishna, S.: Techniques for rice leaf disease detection using machine learning algorithms. Int. J. Eng. Res. Technol. (IJERT) 9(8) (2021)
2. Ghosal, S., Sarkar, K.: Rice leaf diseases classification using CNN with transfer learning. In: 2020 IEEE Calcutta Conference (CALCON), pp. 230–236 (2020). https://doi.org/10.1109/CALCON49167.2020.9106423
3. Phadikar, S., Sil, J.: Rice disease identification using pattern recognition techniques. In: Proceedings of 11th International Conference on Computer and Information Technology (ICCIT 2008), pp. 25–27, December 2008. https://doi.org/10.1109/ICCITECHN.2008.4803079
4. Chen, W.-L., Lin, Y.-B., Ng, F.-L., Liu, C.-Y., Lin, Y.-W.: RiceTalk: rice blast detection using internet of things and artificial intelligence technologies. IEEE Internet Things J. 7(2), 1001–1010 (2020). https://doi.org/10.1109/JIOT.2019.2947624
5. Joshi, A.A., Jadhav, B.D.: Monitoring and controlling rice diseases using image processing techniques. In: 2016 International Conference on Computing, Analytics and Security Trends (CAST) College of Engineering Pune, India, 19–21 December 2016
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