AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation

AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation

Maize is among the most important crops in Iran. Enhancing maize irrigation management is critical for alleviating the pressure on limited freshwater resources in Khorasan Razavi province. The main objective of this study was to develop a novel irrigation scheduling optimization framework (AquaCrop...

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Bibliographic Details
Main Authors: Mahdi Gholami Sharafkhane, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Amir Akbari, Amir Verdi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Agricultural Water Management
Subjects:
AquaCrop
Deficit irrigation
Optimization
PSO algorithm
Weather forecasts
Online Access:http://www.sciencedirect.com/science/article/pii/S037837742400489X
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