A Decision-making Model for Crop Irrigation based on Digital Twin Technology

With global climate change and water shortage, traditional crop irrigation methods face challenges. This paper constructs a crop irrigation decision-making model based on digital twin technology to integrate elements for precise water management and improve efficiency. The model can simulate, optimize, predict, reduce waste and improve yield and quality. It provides an innovative solution with important value.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icise-ie64355.2024.11025412
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.70
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article

A Decision-making Model for Crop Irrigation based on Digital Twin Technology

T. J. Zhang, Zhidong Liu, Xiwei Chen, Ho Jin Song
2 citations
Digital Transformation in Industry
0.70
article

A Decision-making Model for Crop Irrigation based on Digital Twin Technology

T. J. Zhang, Zhidong Liu, Xiwei Chen, Ho Jin Song
article en
2 citations

Abstract

With global climate change and water shortage, traditional crop irrigation methods face challenges. This paper constructs a crop irrigation decision-making model based on digital twin technology to integrate elements for precise water management and improve efficiency. The model can simulate, optimize, predict, reduce waste and improve yield and quality. It provides an innovative solution with important value.

Jilin Agricultural Science and Technology University (CN)
Zero hunger
Openalex Percentile: Top 23%
Digital Transformation in Industry
0.70
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