Model-based Fertigation
Model-Based Fertigation is a systematic approach to nutrient and water management in agricultural production that uses predictive models—such as crop growth, soil nutrient dynamics, or environmental response models—to optimize the timing, rate, and composition of fertilizer application through irrigation systems, distinguishing it from empirical or sensor-based fertigation by its reliance on mechanistic or mathematical representations of plant-soil-system interactions.
18
Publications
1.2K
Citations
54
Authors
28
Institutions
Publications per year
2017–2026
5
Parents
18
1–5 of 18
54
2
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1–5 of 54
28

University of Tehran
Tehran, Iran
4 h-index
7 publications
121 citations
Estación Experimental de Aula Dei
Zaragoza, Spain
3 h-index
8 publications
209 citations
University of California, Riverside
Riverside, United States
3 h-index
3 publications
637 citations
Consejo Superior de Investigaciones Científicas
Madrid, Spain
2 h-index
2 publications
66 citations
Universidad de Zaragoza
Zaragoza, Spain
2 h-index
9 publications
189 citations
Agricultural Research & Education Organization
Tehran, Iran
2 h-index
2 publications
24 citations

University of Southern Queensland
Toowoomba, Australia
1 h-index
1 publications
21 citations
Chinese Academy of Agricultural Sciences
Beijing, China
1 h-index
3 publications
99 citations
1–8 of 28
5 publications · 727 citations
5
h-index
SJAR · 2 publications · 49 citations
2
h-index
IJABE · 1 publications · 25 citations
1
h-index
1 publications · 13 citations
1
h-index
JIA · 1 publications · 33 citations
1
h-index
1–5