Hammouch, H.; Patil, S.; Choudhary, S.; El-Yacoubi, M.A.; Masner, J.; Kholová, J.; Anbazhagan, K.; Vaněk, J.; Qin, H.; Stočes, M.;
et al. Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture 2024, 14, 1682.
https://doi.org/10.3390/agriculture14101682
AMA Style
Hammouch H, Patil S, Choudhary S, El-Yacoubi MA, Masner J, Kholová J, Anbazhagan K, Vaněk J, Qin H, Stočes M,
et al. Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture. 2024; 14(10):1682.
https://doi.org/10.3390/agriculture14101682
Chicago/Turabian Style
Hammouch, Hajar, Suchitra Patil, Sunita Choudhary, Mounim A. El-Yacoubi, Jan Masner, Jana Kholová, Krithika Anbazhagan, Jiří Vaněk, Huafeng Qin, Michal Stočes,
and et al. 2024. "Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content" Agriculture 14, no. 10: 1682.
https://doi.org/10.3390/agriculture14101682
APA Style
Hammouch, H., Patil, S., Choudhary, S., El-Yacoubi, M. A., Masner, J., Kholová, J., Anbazhagan, K., Vaněk, J., Qin, H., Stočes, M., Berbia, H., Jagarlapudi, A., Chandramouli, M., Mamidi, S., Prasad, K., & Baddam, R.
(2024). Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture, 14(10), 1682.
https://doi.org/10.3390/agriculture14101682
