Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review

This paper presents a review on algorithm development and crop water modelling with a focus on optimizing significant parameters related to crop factors, soil factors, and weather factors. The accurate representation and optimization of these parameters are crucial for reliable predictions and effec...

Full description

Bibliographic Details
Main Authors: Sulaiman, Ahmad S. S., Wayayok, Aimrun, Aziz, Samsuzana A., Yun, Wong Mui, Leifeng, Guo
Format: Article
Language:English
Published: University of Basrah, College of Agriculture 2024
Online Access:http://psasir.upm.edu.my/id/eprint/118125/
http://psasir.upm.edu.my/id/eprint/118125/1/118125.pdf
_version_ 1848867437609484288
author Sulaiman, Ahmad S. S.
Wayayok, Aimrun
Aziz, Samsuzana A.
Yun, Wong Mui
Leifeng, Guo
author_facet Sulaiman, Ahmad S. S.
Wayayok, Aimrun
Aziz, Samsuzana A.
Yun, Wong Mui
Leifeng, Guo
author_sort Sulaiman, Ahmad S. S.
building UPM Institutional Repository
collection Online Access
description This paper presents a review on algorithm development and crop water modelling with a focus on optimizing significant parameters related to crop factors, soil factors, and weather factors. The accurate representation and optimization of these parameters are crucial for reliable predictions and effective decision-making in agricultural practices. The objective of this review is to analyse the existing literature on algorithm development, parameter optimization techniques, and their application in crop water modelling, specifically emphasizing the importance of crop factors, soil factors, and weather factors. The review concludes with a discussion on the key findings and future directions in algorithm development and optimization for crop water modelling. It highlights potential research gaps and challenges that need to be addressed to improve the accuracy and efficiency of crop water modelling. The impact of optimized modelling approaches on sustainable agricultural practices and water management is also discussed. Overall, this comprehensive review provides valuable insights into the importance of algorithm development, optimization, and parameter selection in crop water modelling, specifically focusing on crop factors, soil factors, and weather factors.
first_indexed 2025-11-15T14:36:29Z
format Article
id upm-118125
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T14:36:29Z
publishDate 2024
publisher University of Basrah, College of Agriculture
recordtype eprints
repository_type Digital Repository
spelling upm-1181252025-06-25T03:47:39Z http://psasir.upm.edu.my/id/eprint/118125/ Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review Sulaiman, Ahmad S. S. Wayayok, Aimrun Aziz, Samsuzana A. Yun, Wong Mui Leifeng, Guo This paper presents a review on algorithm development and crop water modelling with a focus on optimizing significant parameters related to crop factors, soil factors, and weather factors. The accurate representation and optimization of these parameters are crucial for reliable predictions and effective decision-making in agricultural practices. The objective of this review is to analyse the existing literature on algorithm development, parameter optimization techniques, and their application in crop water modelling, specifically emphasizing the importance of crop factors, soil factors, and weather factors. The review concludes with a discussion on the key findings and future directions in algorithm development and optimization for crop water modelling. It highlights potential research gaps and challenges that need to be addressed to improve the accuracy and efficiency of crop water modelling. The impact of optimized modelling approaches on sustainable agricultural practices and water management is also discussed. Overall, this comprehensive review provides valuable insights into the importance of algorithm development, optimization, and parameter selection in crop water modelling, specifically focusing on crop factors, soil factors, and weather factors. University of Basrah, College of Agriculture 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/118125/1/118125.pdf Sulaiman, Ahmad S. S. and Wayayok, Aimrun and Aziz, Samsuzana A. and Yun, Wong Mui and Leifeng, Guo (2024) Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review. Basrah Journal of Agricultural Sciences, 37 (2). pp. 310-325. ISSN 2520-0860; eISSN: 1814-5868 https://bjas.bajas.edu.iq/index.php/bjas/article/view/2007 10.37077/25200860.2024.37.2.24
spellingShingle Sulaiman, Ahmad S. S.
Wayayok, Aimrun
Aziz, Samsuzana A.
Yun, Wong Mui
Leifeng, Guo
Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
title Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
title_full Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
title_fullStr Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
title_full_unstemmed Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
title_short Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
title_sort advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
url http://psasir.upm.edu.my/id/eprint/118125/
http://psasir.upm.edu.my/id/eprint/118125/
http://psasir.upm.edu.my/id/eprint/118125/
http://psasir.upm.edu.my/id/eprint/118125/1/118125.pdf