Taha, M.F.; Mao, H.; Mousa, S.; Zhou, L.; Wang, Y.; Elmasry, G.; Al-Rejaie, S.; Elwakeel, A.E.; Wei, Y.; Qiu, Z.
Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants. Agronomy 2024, 14, 2290.
https://doi.org/10.3390/agronomy14102290
AMA Style
Taha MF, Mao H, Mousa S, Zhou L, Wang Y, Elmasry G, Al-Rejaie S, Elwakeel AE, Wei Y, Qiu Z.
Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants. Agronomy. 2024; 14(10):2290.
https://doi.org/10.3390/agronomy14102290
Chicago/Turabian Style
Taha, Mohamed Farag, Hanping Mao, Samar Mousa, Lei Zhou, Yafei Wang, Gamal Elmasry, Salim Al-Rejaie, Abdallah Elshawadfy Elwakeel, Yazhou Wei, and Zhengjun Qiu.
2024. "Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants" Agronomy 14, no. 10: 2290.
https://doi.org/10.3390/agronomy14102290
APA Style
Taha, M. F., Mao, H., Mousa, S., Zhou, L., Wang, Y., Elmasry, G., Al-Rejaie, S., Elwakeel, A. E., Wei, Y., & Qiu, Z.
(2024). Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants. Agronomy, 14(10), 2290.
https://doi.org/10.3390/agronomy14102290