Capability of high-resolution RGB imagery to accurately document residue in row-crop fields-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Capability of high-resolution RGB imagery to accurately document residue in row-crop fields

Published:2021 Issue:5 Volume:76 Page:403-413
ISSN:0022-4561
Container-title:Journal of Soil and Water Conservation
language:en
Short-container-title:Journal of Soil and Water Conservation

Author:

Lory J.A.,Upadhyay P.,Lagaunne T.A.P.,Spinka C.,Miller R.,Davis G.,DeSouza G.N.

Publisher

Soil and Water Conservation Society

Subject

Nature and Landscape Conservation,Soil Science,Water Science and Technology,Agronomy and Crop Science

Cited by 3 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. Using Google Earth Imagery to Target Assessments of Ephemeral Gully Erosion;Journal of the ASABE;2023

2. Classification of Crop Residue Cover in High-Resolution RGB Images Using Machine Learning;Journal of the ASABE;2022

3. Classifying Cover Crop Residue from RGB Images: A Simple SVM versus a SVM Ensemble;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05

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