Digital mapping of soil carbon fractions with machine learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Digital mapping of soil carbon fractions with machine learning

Published:2019-04 Issue: Volume:339 Page:40-58
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Keskin Hamza,Grunwald Sabine^ORCID,Harris Willie G.

Funder

USDA-CSREES-NRI

USDA–CSREES–NRI

Agricultural and Food Research Initiative — National Institute of Food and Agriculture

Core Project of the North American Carbon Program

Republic of Turkey Ministry of Agriculture and Forestry — General Directorate of Combating Desertification and Erosion

Publisher

Elsevier BV

Subject

Soil Science

Reference122 articles.

1. Digital mapping of soil organic carbon contents and stocks in Denmark;Adhikari;PLoS One,2014

2. Carbon mineralization and labile organic carbon pools in the sandy soils of a North Florida Watershed;Ahn;Ecosystems,2009

3. Molecular-scale characterization of hot-water-extractable organic matter in organic horizons of a forest soil;Balaria;Soil Sci. Soc. Am. J.,2009

4. Soils and climate change: potential impacts on carbon stocks and greenhouse gas emissions, and future research for Australian agriculture;Baldock;Crop Pasture Sci.,2012

5. Machine learning methods for microbial source tracking;Belanche-Muñoz;Environ. Model. Softw.,2008

Cited by 191 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. Understanding the mechanism of gully erosion in the alpine region through an interpretable machine learning approach;Science of The Total Environment;2024-11

2. Contributions of soil organic carbon-induced root- and soil properties complexity to water flow in eastern China;Science of The Total Environment;2024-10

3. An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling;SOIL;2024-09-10

4. From Rangelands to Cropland, Land-Use Change and Its Impact on Soil Organic Carbon Variables in a Peruvian Andean Highlands: A Machine Learning Modeling Approach;Ecosystems;2024-09-09

5. Regional prediction of soil organic carbon dynamics for intensive farmland in the hot arid climate of India using the machine learning model;Environmental Earth Sciences;2024-09

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