CNN-HOG based hybrid feature mining for classification of coffee bean varieties using image processing
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18952-z.pdf
Reference13 articles.
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2. Dingeta Olika L, Amberber DD (2020) Classical image based classification of coffee beans on their botanical origins in Tongo and Wambara, Benishangul Gumuz, Ethiopia. Sci J Circ Syst Signal Process 9(2):42. https://doi.org/10.11648/j.cssp.20200902.12
3. O’Mahony N et al (2020) Deep learning vs. traditional computer vision. Adv Intell Syst Comput 943(Cv):128–144. https://doi.org/10.1007/978-3-030-17795-9_10
4. Huang Z et al (2022) Deep learning based soybean seed classification. Comput Electron Agric 202. https://doi.org/10.1016/j.compag.2022.107393
5. Risdin F, Mondal PK, Hassan KM (2020) Convolutional neural networks (CNN) for detecting fruit Information using machine learning techniques. IOSR J Comput Eng 22(2):1–13. https://doi.org/10.9790/0661-2202010113
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