Article Versions Notes

M’hamdi O, Takács S, Palotás G, Ilahy R, Helyes L, Pék Z. A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data. Plants. 2024; 13(5):746. https://doi.org/10.3390/plants13050746

M’hamdi, Oussama, Sándor Takács, Gábor Palotás, Riadh Ilahy, Lajos Helyes, and Zoltán Pék. 2024. "A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data" Plants 13, no. 5: 746. https://doi.org/10.3390/plants13050746

M’hamdi, O., Takács, S., Palotás, G., Ilahy, R., Helyes, L., & Pék, Z. (2024). A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data. Plants, 13(5), 746. https://doi.org/10.3390/plants13050746