Frost Forecasting Models
Frost Forecasting Models is a systematic framework that employs meteorological data and predictive algorithms to estimate the likelihood, timing, and severity of frost events in agricultural or ecological settings, distinguishing it from general weather prediction models by its specificity to frost occurrence and impact mitigation.
35
Publications
1.4K
Citations
115
Authors
65
Institutions
Publications per year
2017–2026
20
Parents
35
Spring frost risk in a changing climate
Jane R. Rigby, Amilcare Porporato · Geophysical Research Letters · 2008 · 159 citations · Full text
Prediction of Frost Events Using Machine Learning and IoT Sensing Devices
Ana Diedrichs, Facundo Bromberg, Diego Dujovne et al. · IEEE Internet of Things Journal · 2018 · 97 citations · Full text
Computing, Data Science, Meteorology +15
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Universidade de São Paulo
São Paulo, Brazil
3 h-index
3 publications
79 citations
Iowa State University
Ames, United States
3 h-index
5 publications
114 citations

Universidad Católica de Murcia
Murcia, Spain
3 h-index
9 publications
221 citations
COMSATS University Islamabad
Islamabad, Pakistan
2 h-index
5 publications
114 citations

Meiji University
Tokyo, Japan
2 h-index
6 publications
87 citations

Universidad de Murcia
Murcia, Spain
2 h-index
5 publications
126 citations
Texas Commission on Environmental Quality
Austin, United States
1 h-index
1 publications
18 citations
Iran Meteorological Organization
Tehran, Iran
1 h-index
1 publications
27 citations
1–8 of 65
4 publications · 77 citations
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3 publications · 121 citations
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2 publications · 155 citations
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2 publications · 27 citations
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2 publications · 29 citations
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