An improved workflow for calibration and downscaling of GCM climate forecasts for agricultural applications – A case study on prediction of sugarcane yield in Australia-Reference-Cited by-同舟云学术

An improved workflow for calibration and downscaling of GCM climate forecasts for agricultural applications – A case study on prediction of sugarcane yield in Australia

Published:2020-09 Issue: Volume:291 Page:107991
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Schepen Andrew^ORCID,Everingham Yvette,Wang Quan J.

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference62 articles.

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4. Seasonal crop yield forecast: methods, applications, and accuracies;Basso,2019

5. Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI;Bégué;Int. J. Remote Sens.,2010

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