Impacts of climate change and meteo-solar parameters on photosynthetically active radiation prediction using hybrid machine learning with Physics-based models-Reference-Cited by-同舟云学术

Impacts of climate change and meteo-solar parameters on photosynthetically active radiation prediction using hybrid machine learning with Physics-based models

Published:2022-12 Issue:11 Volume:70 Page:3614-3637
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Chukwujindu Nwokolo Samuel,Ogbulezie Julie C.,Umunnakwe Obiwulu Anthony

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference73 articles.

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3. Quantum sensors for accurate and stable long-term photosynthetically active radiation observations;Akitsu;Agric. For. Meteorol.,2017

4. The variability and seasonality in the ratio of photosynthetically active radiation to solar radiation: a simple empirical model of the ratio;Akitsu;Int. J. Appl. Earth Obs. Geoinf.,2022

5. Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation;Angstrom;Q. J. R. Meteorol. Soc.,1924

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