Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods

Published:2020-10-19 Issue:2 Volume:47 Page:162-181
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Dang Chaoya¹,Liu Ying¹,Yue Hui¹,Qian JiaXin¹,Zhu Rong¹

Affiliation:

1. College of Geomatics, Xi’an University of Science and Technology, Xi’an, China

Funder

Natural Science Basic Research Program of Shaanxi

Research on Ecological Restoration and Protection of Coal Base in Arid Eco-fragile Region

Shaanxi Coal and Chemical Industry Group

Xi’an University of Science and Technology

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2020.1833186

Reference78 articles.

1. Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI

2. Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

3. A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Cited by 53 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. Yield estimation from SAR data using patch-based deep learning and machine learning techniques;Computers and Electronics in Agriculture;2024-11

2. Data-driven determination of plant growth stages for improved weather index insurance design;Agricultural Finance Review;2024-08-15

3. Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data;PeerJ Computer Science;2024-08-13

4. Fiber Bragg grating-based touch-slip sensor for surface roughness detection;Optics Express;2024-08-02

5. Using machine learning for NEETs and sustainability studies: Determining best machine learning algorithms;Socio-Economic Planning Sciences;2024-08

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