Irrigation System Optimization
Irrigation System Optimization is a methodological framework within irrigation control that systematically enhances the efficiency, timing, and spatial distribution of water application by minimizing resource inputs and maximizing crop productivity through the integration of real-time data, predictive models, and automated decision-making.
872
Publications
36.6K
Citations
2.4K
Authors
843
Institutions
Publications per year
2017–2026
344
872
1–5 of 872
2.4K
19
h-index
17
h-index
14
h-index
13
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12
h-index
1–5 of 2.4K
843
China Agricultural University
Beijing, China
27 h-index
200 publications
9.3K citations

University of Tehran
Tehran, Iran
20 h-index
54 publications
2.4K citations
University of California, Davis
Davis, United States
19 h-index
28 publications
1.2K citations
University of Córdoba
Córdoba, Spain
17 h-index
59 publications
2.8K citations
Northeast Agricultural University
Harbin, China
14 h-index
84 publications
4.1K citations
Texas A&M University
College Station, United States
14 h-index
32 publications
1.6K citations

Beijing Normal University
Beijing, China
14 h-index
18 publications
811 citations
Northwest A&F University
Yangling, China
13 h-index
67 publications
3.3K citations
1–8 of 843
160 publications · 8.9K citations
55
h-index
60 publications · 2.4K citations
28
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32 publications · 1.7K citations
25
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40 publications · 1.5K citations
22
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31 publications · 1.8K citations
20
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