Rashid, A.; Mirza, S.A.; Keating, C.; Ijaz, U.Z.; Ali, S.; Campos, L.C.
Machine Learning Approach to Predict Quality Parameters for Bacterial Consortium-Treated Hospital Wastewater and Phytotoxicity Assessment on Radish, Cauliflower, Hot Pepper, Rice and Wheat Crops. Water 2022, 14, 116.
https://doi.org/10.3390/w14010116
AMA Style
Rashid A, Mirza SA, Keating C, Ijaz UZ, Ali S, Campos LC.
Machine Learning Approach to Predict Quality Parameters for Bacterial Consortium-Treated Hospital Wastewater and Phytotoxicity Assessment on Radish, Cauliflower, Hot Pepper, Rice and Wheat Crops. Water. 2022; 14(1):116.
https://doi.org/10.3390/w14010116
Chicago/Turabian Style
Rashid, Aneeba, Safdar A. Mirza, Ciara Keating, Umer Z. Ijaz, Sikander Ali, and Luiza C. Campos.
2022. "Machine Learning Approach to Predict Quality Parameters for Bacterial Consortium-Treated Hospital Wastewater and Phytotoxicity Assessment on Radish, Cauliflower, Hot Pepper, Rice and Wheat Crops" Water 14, no. 1: 116.
https://doi.org/10.3390/w14010116
APA Style
Rashid, A., Mirza, S. A., Keating, C., Ijaz, U. Z., Ali, S., & Campos, L. C.
(2022). Machine Learning Approach to Predict Quality Parameters for Bacterial Consortium-Treated Hospital Wastewater and Phytotoxicity Assessment on Radish, Cauliflower, Hot Pepper, Rice and Wheat Crops. Water, 14(1), 116.
https://doi.org/10.3390/w14010116
