Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine

Published:2021-02 Issue: Volume:123 Page:126204
ISSN:1161-0301
Container-title:European Journal of Agronomy
language:en
Short-container-title:European Journal of Agronomy

Author:

Cao Juan,Zhang Zhao,Luo Yuchuan,Zhang Liangliang,Zhang Jing,Li Ziyue,Tao Fulu

Funder

National Defense Basic Scientific Research Program of China

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Reference56 articles.

1. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015;Abatzoglou;Sci. Data,2018

2. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks;Abdeljaber;J. Sound Vib.,2017

3. Towards fine resolution global maps of crop yields: testing multiple methods and satellites in three countries;Azzari;Remote Sens. Environ.,2017

4. Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil;Battisti;Field Crops Res.,2017

5. Random forests;Breiman;Mach. Learn.,2001

Cited by 110 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Subfield-level crop yield mapping without ground truth data: A scale transfer framework;Remote Sensing of Environment;2024-12

2. Combination of Multiple Variables and Machine Learning for Regional Cropland Water and Carbon Fluxes Estimation: A Case Study in the Haihe River Basin;Remote Sensing;2024-09-04

3. Field scale wheat yield prediction using ensemble machine learning techniques;Smart Agricultural Technology;2024-09

4. Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana;Heliyon;2024-09

5. Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios;Sustainability;2024-08-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3