Deep CNN-based damage classification of milled rice grains using a high-magnification image dataset
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference59 articles.
1. Area, Yield, and Production. https://ipad.fas.usda.gov/cropexplorer/util/new_get_psd_data.aspx?regionid=sasia. Accessed 7 May 2021.
2. Patel, Krishna Kumar, et al. “Machine Vision System: A Tool for Quality Inspection of Food and Agricultural Products.”Journal of Food Science and Technology, vol. 49, no. 2, Apr. 2012, pp. 123–41.DOI.org (Crossref), doi:10.1007/s13197-011-0321-4.
3. J. Paliwal, et al. “Classification of Cereal Grains Using a Flatbed Scanner.”2003, Las Vegas, NV July 27-30, 2003, American Society of Agricultural and Biological Engineers, 2003.DOI.org (Crossref), doi:10.13031/2013.15408.
4. T. Pearson. “High-Speed Sorting of Grains by Color and Surface Texture.” Applied Engineering in Agriculture, vol. 26, no. 3, 2010, pp. 499–505. DOI.org (Crossref), 10.13031/2013.29948.
5. Rehman, Tanzeel U., et al. “Current and Future Applications of Statistical Machine Learning Algorithms for Agricultural Machine Vision Systems.” Computers and Electronics in Agriculture, vol. 156, Jan. 2019, pp. 585–605. DOI.org (Crossref), 10.1016/j.compag.2018.12.006.
Cited by 49 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. Quantitative detection and sorting of broken kernels and chalky grains in milled rice using computer vision algorithms;Journal of Food Engineering;2024-12
2. Application of artificial intelligence techniques to addressing and mitigating biotic stress in paddy crop: A review;Plant Stress;2024-12
3. Evaluating the cost of classifier discrimination choices for IoT sensor attack detection;International Journal of Computers and Applications;2024-09-10
4. Predictive modeling of rice milling degree for three typical Chinese rice varieties using interpretative machine learning methods;Journal of Food Science;2024-09
5. RiceSeedNet: Rice seed variety identification using deep neural network;Journal of Agriculture and Food Research;2024-06
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