Data-driven Irrigation Control
Data-Driven Irrigation Control is a methodology in agricultural water management that uses empirical data from sensors, weather forecasts, and crop monitoring systems to dynamically regulate irrigation schedules and amounts, distinguishing itself from rule-based or fixed-timer approaches through its reliance on real-time, measurable environmental inputs and analytical models to optimize water use efficiency.
22
Publications
1.2K
Citations
84
Authors
55
Institutions
Publications per year
2017–2026
19
Parents
22
1–5 of 22
84
Kwame Nkrumah University of Science and Technology, Ghana
2 publications · 97 citations
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2
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2
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2
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2
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1–5 of 84
55

Makerere University
Kampala, Uganda
2 h-index
2 publications
97 citations
University of Technology Malaysia
Johor Bahru, Malaysia
2 h-index
6 publications
552 citations
National Research Council
Rome, Italy
2 h-index
4 publications
170 citations

Kwame Nkrumah University of Science and Technology
Kumasi, Ghana
2 h-index
2 publications
97 citations
Tsinghua University
Beijing, China
2 h-index
2 publications
133 citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
164 citations
Akanu Ibiam, Federal Polytechnic Unwana
Unwana, Nigeria
2 h-index
4 publications
287 citations
The Federal Polytechnic, Ado-Ekiti
Ado-Ekiti, Nigeria
2 h-index
4 publications
287 citations
1–8 of 55
3 publications · 108 citations
3
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2 publications · 99 citations
2
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1 publications · 34 citations
1
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CCLSJ · 1 publications · 14 citations
1
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1 publications · 72 citations
1
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1–5