Performance evaluation of PCA based reduced features of leaf images extracted by DWT using random Forest and XGBoost classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14370-9.pdf
Reference51 articles.
1. Arjunagi S, Patil NB (2019) Texture based Leaf Disease classification using Machine Learning Techniques
2. Bhagat M, Kumar D (2022) A comprehensive survey on leaf disease identification & classification. Multimed Tools Appl 81:33897–33925. https://doi.org/10.1007/s11042-022-12984-z
3. Bhagat M, Kumar D, Kumar D (2019) Role of internet of things (IoT) in smart farming: a brief survey. 2019 Devices for Integrated Circuit (DevIC):141–145. https://doi.org/10.1109/DEVIC.2019.8783800
4. Bhagat M, Kumar D, Mahmood R, Pati B, Kumar M (2020) "Bell Pepper Leaf Disease Classification Using CNN," 2nd International Conference on Data, Engineering and Applications (IDEA), pp. 1–5, https://doi.org/10.1109/IDEA49133.2020.9170728
5. Bhagat M, Kumar D, Haque I, Munda HS and Bhagat R, "Plant Leaf Disease Classification Using Grid Search Based SVM," 2nd International Conference on Data, Engineering and Applications (IDEA), 2020, pp. 1–6, https://doi.org/10.1109/IDEA49133.2020.9170725.
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