Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China-Reference-Cited by-同舟云学术

Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China

Published:2022-08 Issue: Volume:323 Page:109057
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Cheng Minghan,Penuelas Josep,McCabe Matthew F,Atzberger Clement^ORCID,Jiao Xiyun,Wu Wenbin,Jin Xiuliang

Publisher

Elsevier BV

Subject

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

Reference98 articles.

1. Machine learning regression techniques for the silage maize yield prediction using time-series images of Landsat 8 OLI;Aghighi;IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.,2018

2. Corn crop response under managing different irrigation and salinity levels;Amer;Agric. Water Manage.,2010

3. A model of the temperature and solar-radiation effects on spring wheat growth and yield;Amir;Field Crops Res.,1991

4. Growing degree days – Ecosystem indicator for changing diurnal temperatures and their impact on corn growth stages in Kansas;Anandhi;Ecol. Indic.,2016

5. Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices;Anikó;Agric. Forest Meteorol.,2018

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