APA (7th ed.) Citation

Küçüktopçu, E., Šařec, P., Novák, V., Tunca, E., & Procházka, M. (2026). Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration. Agronomy, 16(15), 1409. https://doi.org/10.3390/agronomy16151409

Chicago Style (17th ed.) Citation

Küçüktopçu, Erdem, Petr Šařec, Václav Novák, Emre Tunca, and Martin Procházka. "Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration." Agronomy 16, no. 15 (2026): 1409. https://doi.org/10.3390/agronomy16151409.

MLA (9th ed.) Citation

Küçüktopçu, Erdem, et al. "Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration." Agronomy, vol. 16, no. 15, 2026, p. 1409, https://doi.org/10.3390/agronomy16151409.