Article Versions Notes

Sharaf-Eldin MA, Elsayed S, Elmetwalli AH, Yaseen ZM, Moghanm FS, Elbagory M, El-Nahrawy S, Omara AE-D, Tyler AN, Elsherbiny O. Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress. Horticulturae. 2023; 9(1):79. https://doi.org/10.3390/horticulturae9010079

Sharaf-Eldin, Mohamed A., Salah Elsayed, Adel H. Elmetwalli, Zaher Mundher Yaseen, Farahat S. Moghanm, Mohssen Elbagory, Sahar El-Nahrawy, Alaa El-Dein Omara, Andrew N. Tyler, and Osama Elsherbiny. 2023. "Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress" Horticulturae 9, no. 1: 79. https://doi.org/10.3390/horticulturae9010079

Sharaf-Eldin, M. A., Elsayed, S., Elmetwalli, A. H., Yaseen, Z. M., Moghanm, F. S., Elbagory, M., El-Nahrawy, S., Omara, A. E.-D., Tyler, A. N., & Elsherbiny, O. (2023). Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress. Horticulturae, 9(1), 79. https://doi.org/10.3390/horticulturae9010079