Real-time grain impurity sensing for rice combine harvesters using image processing and decision-tree algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Real-time grain impurity sensing for rice combine harvesters using image processing and decision-tree algorithm

Published:2020-08 Issue: Volume:175 Page:105591
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Jin,Lian Yi,Li Yaoming

Funder

National Key Research and Development Program of China

Key Research and Development Program of Jiangsu Province

Graduate Innovative Projects of Jiangsu Province

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference32 articles.

1. A genetic input selection methodology for identification of the cleaning process on a combine harvester, part i: selection of relevant input variables for identification of the sieve losses;Craessaerts;Biosyst. Eng.,2007

2. Optimum design of an array structure for the grain loss sensor to upgrade its resolution for harvesting rice in a combine harvester;Liang;Biosyst. Eng.,2017

3. Grain separation in a straw walker unit of a combine harvester: process model;Myhan;Biosyst. Eng.,2016

4. Artificial neural network for assessment of grain losses for paddy combine harvester a novel approach;Hiregoudar;Communications in Computer & Information Science,2011

5. Grain separation loss monitoring system in combine harvester;Zhao;Comput. Electron. Agric.,2011

Cited by 46 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. Research on wheat broken rate and impurity rate detection method based on DeepLab-EDA model and system construction;Computers and Electronics in Agriculture;2024-11

2. Research on Acoustic Signal Identification Mechanism and Denoising Methods of Combine Harvesting Loss;Agronomy;2024-08-17

3. Tomato disease detection with lightweight recurrent and convolutional deep learning models for sustainable and smart agriculture;Frontiers in Sustainability;2024-05-20

4. Design and validation of novel maize grain cleaning loss detection system based on classification models of particle time-domain signals;Computers and Electronics in Agriculture;2024-05

5. Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting;Expert Systems with Applications;2024-03

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