AR, B., N, H., & KM, S. (2025). A Lightweight Machine Learning Framework for Banana Leaf Disease Classification Using Interpretable Handcrafted Features. Cureus Journal of Computer Science, 2(1). https://doi.org/10.7759/s44389-025-07859-x
ISO-690 (author-date, English)AR, Bharath, N, Hemalatha and KM, Sreekumar, 2025. A Lightweight Machine Learning Framework for Banana Leaf Disease Classification Using Interpretable Handcrafted Features. Cureus Journal of Computer Science. 1 September 2025. Vol. 2, no. 1, . DOI 10.7759/s44389-025-07859-x.
Modern Language Association 9th editionAR, B., H. N, and S. KM. “A Lightweight Machine Learning Framework for Banana Leaf Disease Classification Using Interpretable Handcrafted Features”. Cureus Journal of Computer Science, vol. 2, no. 1, Sept. 2025, https://doi.org/10.7759/s44389-025-07859-x.
Mohr Siebeck - Recht (Deutsch - Österreich)AR, Bharath/N, Hemalatha/KM, Sreekumar: A Lightweight Machine Learning Framework for Banana Leaf Disease Classification Using Interpretable Handcrafted Features, Cureus Journal of Computer Science 2025,
Emerald - HarvardAR, B., N, H. and KM, S. (2025), “A Lightweight Machine Learning Framework for Banana Leaf Disease Classification Using Interpretable Handcrafted Features”, Cureus Journal of Computer Science, Vol. 2 No. 1, available at:https://doi.org/10.7759/s44389-025-07859-x.