Improving water status prediction of winter wheat using multi-source data with machine learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improving water status prediction of winter wheat using multi-source data with machine learning

Published:2022-09 Issue: Volume:139 Page:126548
ISSN:1161-0301
Container-title:European Journal of Agronomy
language:en
Short-container-title:European Journal of Agronomy

Author:

Shi Bo,Yuan Yifan,Zhuang Tingxuan,Xu Xuan,Schmidhalter Urs,Ata-UI-Karim Syed Tahir,Zhao Ben,Liu Xiaojun,Tian Yongchao,Zhu Yan,Cao Weixing,Cao Qiang

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Reference59 articles.

1. Temporal and spatial variability of soil bulk density and near-saturated hydraulic conductivity under two contrasted tillage management systems;Alletto;Geoderma,2009

2. Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression;Axelsson;Remote Sens.,2012

3. Evaluation of yield and drought using active and passive spectral sensing systems at the reproductive stage in wheat;Becker;Front. Plant Sci.,2017

4. Differential nitrogen and water impacts on yield and quality of wheat classes;Bicego;Agron. J.,2019

5. Evaluation of machine learning methods for lithology classification using geophysical data;Bressan;Comput. Geosci.,2020

Cited by 17 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. Estimation of goji berry (Lycium barbarum L.) canopy water content based on optimal spectral indices;Scientia Horticulturae;2024-11

2. Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images;Computers and Electronics in Agriculture;2024-09

3. A Machine Learning Approach to Monitor the Physiological and Water Status of an Irrigated Peach Orchard under Semi-Arid Conditions by Using Multispectral Satellite Data;Water;2024-08-06

4. Farmland hydrological cycle under agroforestry systems and efficient use of water resources in the karst desertification environment;Heliyon;2024-08

5. Integrating high‐throughput phenotyping and genome‐wide association studies for enhanced drought resistance and yield prediction in wheat;New Phytologist;2024-07-11

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