Machine Learning approach to Predict net radiation over crop surfaces from global solar radiation and canopy temperature data-Reference-Cited by-同舟云学术

Machine Learning approach to Predict net radiation over crop surfaces from global solar radiation and canopy temperature data

Published:2022-09-17 Issue:12 Volume:66 Page:2405-2415
ISSN:0020-7128
Container-title:International Journal of Biometeorology
language:en
Short-container-title:Int J Biometeorol

Author:

Banerjee Saon^ORCID,Singal Gaurav,Saha Sarathi,Mittal Himanshu,Srivastava Manu,Mukherjee Asis,Mahato Sayak,Saikia Barnali,Thakur Sudipta,Samanta Suman,Kushwaha Riti,Garg Deepak

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology

Link

https://link.springer.com/content/pdf/10.1007/s00484-022-02364-5.pdf

Reference29 articles.

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