The discussers highlighted some significant points that will help enhance the quality of the original paper for the scholarly community. Although the original study comprised both experimental work and modeling analyses, the discussion is entirely based on modeling aspects of the study. The discussers found the original study to be of significance in the field of irrigation and water resources management and commented that remarkable modeling knowledge can be gained from the original study. The main issues that were identified by the discussers were (1) data selection and segregation for training and validation, (2) model performance using statistical evaluation, (3) overfitting of the models, (4) lack of presentation of the developed models, and (5) proposing preprocessing-based hybrid models to improve prediction performance. The discussers also identified certain typographical errors in the original paper.
|Journal||Journal of Irrigation and Drainage Engineering|
|Early online date||8 Jun 2022|
|Publication status||Published - Aug 2022|
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Artificial Intelligence
- General Engineering