Afira, A., Ulfa, M., Amalia, N. A., Abidin, T. F., & Kruba, R. (2024, September 12). Optimizing Pomegranate Growth Stage Detection Using YOLOv8 and Hybrid Machine Learning Approaches. 2024 International Conference on Electrical Engineering and Informatics (ICELTICs), 68-73. https://doi.org/10.1109/ICELTICs62730.2024.10776215
Chicago Style (17th ed.) CitationAfira, Aida, Maria Ulfa, Nurul Asmi Amalia, Taufik Fuadi Abidin, and Rumaisa Kruba. "Optimizing Pomegranate Growth Stage Detection Using YOLOv8 and Hybrid Machine Learning Approaches." 2024 International Conference on Electrical Engineering and Informatics (ICELTICs) 12 Sep. 2024: 68-73. https://doi.org/10.1109/ICELTICs62730.2024.10776215.
MLA (9th ed.) CitationAfira, Aida, et al. "Optimizing Pomegranate Growth Stage Detection Using YOLOv8 and Hybrid Machine Learning Approaches." 2024 International Conference on Electrical Engineering and Informatics (ICELTICs), 12 Sep. 2024, pp. 68-73, https://doi.org/10.1109/ICELTICs62730.2024.10776215.