APA (7th ed.) Citation

Mafukidze, H. D., Owomugisha, G., Otim, D., Nechibvute, A., Nyamhere, C., Mazunga, F., & Department of Applied Physics and Telecommunications, M. S. U. (2023). Adaptive Thresholding of CNN Features for Maize Leaf Disease Classification and Severity Estimation. MDPI.

Chicago Style (17th ed.) Citation

Mafukidze, Harry Dzingai, Godliver Owomugisha, Daniel Otim, Action Nechibvute, Cloud Nyamhere, Felix Mazunga, and Midlands State University Department of Applied Physics and Telecommunications. Adaptive Thresholding of CNN Features for Maize Leaf Disease Classification and Severity Estimation. MDPI, 2023.

MLA (8th ed.) Citation

Mafukidze, Harry Dzingai, et al. Adaptive Thresholding of CNN Features for Maize Leaf Disease Classification and Severity Estimation. MDPI, 2023.