Closure to “Evaluating the Performance of Self-Organizing Maps to Estimate Well-Watered Canopy Temperature for Calculating Crop Water Stress Index in Indian Mustard (Brassica juncea)"

Navsal Kumar, Vijay Shankar, Rabee Rustum, Adebayo J. Adeloye

Research output: Contribution to journalComment/debatepeer-review

Abstract

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.
Original languageEnglish
Number of pages3
JournalJournal of Irrigation and Drainage Engineering
Volume148
Issue number8
Early online date8 Jun 2022
DOIs
Publication statusE-pub ahead of print - 8 Jun 2022

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Artificial Intelligence
  • General Engineering

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