Ensemble learning prediction of soybean yields in China based on meteorological data-Reference-Cited by-同舟云学术

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Ensemble learning prediction of soybean yields in China based on meteorological data

Published:2023-06 Issue:6 Volume:22 Page:1909-1927
ISSN:2095-3119
Container-title:Journal of Integrative Agriculture
language:en
Short-container-title:Journal of Integrative Agriculture

Author:

LI Qian-chuan,XU Shi-wei,ZHUANG Jia-yu,LIU Jia-jia,ZHOU Yi,ZHANG Ze-xi

Funder

Chinese Academy of Agricultural Sciences

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference86 articles.

1. Determination of optimized cropping patterns according to crop yield response under baseline condition and climate-change condition;Abdi-Dehkordi;Irrigation and Drainage,2018

2. Spatial interpolation of climate variables in Northern Germany - Influence of temporal resolution and network density;Berndt;Journal of Hydrology (Regional Studies),2018

3. Representativeness impacts on accuracy and precision of climate spatial interpolation in data-scarce regions;Bhowmik;Meteorological Applications,2015

4. Special report on climate change and land use;Bongaarts;Population and Development Review,2020

5. Random forests;Breiman;Machine Learning,2001

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