İrik, 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 AN INTERNATIONAL JOURNAL , vol.221 , 1-16.

İrik, H. A., Ropelewska, E., & Çetin, 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 AN INTERNATIONAL JOURNAL , vol.221, 1-16.

İrik, HASAN, Ewa Ropelewska, And Necati Çetin. "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 AN INTERNATIONAL JOURNAL , vol.221, 1-16, 2024

İrik, 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 AN INTERNATIONAL JOURNAL , vol.221, pp.1-16, 2024

İrik, H. A. Ropelewska, E. And Çetin, 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 AN INTERNATIONAL JOURNAL , vol.221, pp.1-16.

@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 AN INTERNATIONAL JOURNAL}, year=2024, pages={1-16} }