Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
Author:
Affiliation:
1. Department of Geomatics Engineering, ITU, Istanbul, Turkey
2. Earthquake Engineering and Disaster Management Institute, ITU, Istanbul, Turkey
3. Image Processing Laboratory (IPL), Parc Científic, Universitat de València, Paterna, València, Spain
Funder
2022 Climate Change AI Innovation Grants Program, Hosted by Climate Change AI with the additional support of Canada Hub of Future Earth
Scientific and Technological Research Council of Turkey
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10214067.pdf?arnumber=10214067
Reference28 articles.
1. Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico
2. Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
3. Interpretable Long Short-Term Memory Networks for Crop Yield Estimation
4. Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China
5. Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
Cited by 9 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. Identifying Yield Predictors Behaving as a Geotag: A Time-Varying Analysis of a Nationwide Cotton Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Unveiling the High-Resolution Cotton Yield Variations from Low-Resolution Statistics: Lessons from a Nationwide Study in Turkey;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
3. Image-To-Image Translation Networks for Estimating Evapotranspiration Variations: SAR2ET;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
4. Insight generation for improving e-governance: towards crop yield prediction model;International Journal of Image and Data Fusion;2024-05-31
5. Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++;IEEE Access;2024
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