İRİK, H. A. Et Al. 2024. Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments. Computers and Electronics in Agriculture , vol.221 .

İRİK, H. A., Ropelewska, E., & ÇETİN, N., (2024). Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments. Computers and Electronics in Agriculture , vol.221.

İRİK, HASAN, Ewa Ropelewska, And NECATİ ÇETİN. "Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments," Computers and Electronics in Agriculture , vol.221, 2024

İRİK, HASAN A. Et Al. "Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments." Computers and Electronics in Agriculture , vol.221, 2024

İRİK, H. A. Ropelewska, E. And ÇETİN, N. (2024) . "Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments." Computers and Electronics in Agriculture , vol.221.

@article{article, author={HASAN ALİ İRİK Et Al. }, title={Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments}, journal={Computers and Electronics in Agriculture}, year=2024}