登录 注册 会员服务 联系我们

Comparison of insect detection efficiency by different detection methods

  • Published:2016-10 Issue: Volume:69 Page:138-142
  • ISSN:0022-474X
  • Container-title:Journal of Stored Products Research
  • language:en
  • Short-container-title:Journal of Stored Products Research

Author:

Jian Fuji,Doak Sara,Jayas Digvir S.,Fields Paul G.,White Noel D.G.

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

Manitoba Research Innovation

Publisher

Elsevier BV

Subject

Horticulture,Insect Science,Agronomy and Crop Science,Food Science

Reference31 articles.

1. Standard S352.2: Moisture Measurement –Unground Grain and Seeds;ASABE,2014

2. Detection of Rhyzopertha dominica larvae in stored wheat using ELISA: the impact of myosin degradation following fumigation;Atui;J. Stored Prod. Res.,2007

3. Apparecchio per raccogliere presto ed in gran numero piccoli Artropodi;Berlese;Redia,1905

4. Detection of internal insects in using a conductive roller mill and estimation of insect fragments in the resulting flour;Brabec;J. Stored Prod. Res.,2010

5. A comparison of screening methods for insect contamination in wheat;Brader;J. Stored Prod. Res.,2002

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. Smart Pest Control in Grain Warehouses: YOLOv8-powered IoT Robot Car for Precision Agriculture;2024 International Conference on Global Aeronautical Engineering and Satellite Technology (GAST);2024-04-24

2. Grain storage and management;Unit Operations in Food Grain Processing;2024

3. Real-time stored product insect detection and identification using deep learning: System integration and extensibility to mobile platforms;Journal of Stored Products Research;2023-12

4. Alternatives to incandescent bulbs in Berlese funnels for detecting stored-product beetles in grain;Journal of Stored Products Research;2023-12

5. A Method for Predicting Trap Counts of Stored-Grain Insects Based on Machine Learning;2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC);2023-11-03
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