Taha, M.F.; Abdalla, A.; ElMasry, G.; Gouda, M.; Zhou, L.; Zhao, N.; Liang, N.; Niu, Z.; Hassanein, A.; Al-Rejaie, S.;
et al. Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics. Chemosensors 2022, 10, 45.
https://doi.org/10.3390/chemosensors10020045
AMA Style
Taha MF, Abdalla A, ElMasry G, Gouda M, Zhou L, Zhao N, Liang N, Niu Z, Hassanein A, Al-Rejaie S,
et al. Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics. Chemosensors. 2022; 10(2):45.
https://doi.org/10.3390/chemosensors10020045
Chicago/Turabian Style
Taha, Mohamed Farag, Alwaseela Abdalla, Gamal ElMasry, Mostafa Gouda, Lei Zhou, Nan Zhao, Ning Liang, Ziang Niu, Amro Hassanein, Salim Al-Rejaie,
and et al. 2022. "Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics" Chemosensors 10, no. 2: 45.
https://doi.org/10.3390/chemosensors10020045
APA Style
Taha, M. F., Abdalla, A., ElMasry, G., Gouda, M., Zhou, L., Zhao, N., Liang, N., Niu, Z., Hassanein, A., Al-Rejaie, S., He, Y., & Qiu, Z.
(2022). Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics. Chemosensors, 10(2), 45.
https://doi.org/10.3390/chemosensors10020045