Defect Detection in Fruit and Vegetables by Using Machine Vision Systems and Image Processing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12393-022-09307-1.pdf
Reference120 articles.
1. Dubey SR, Jalal A (2016) Apple disease classification using color, texture and shape features from images. SIViP 10:819–826. https://doi.org/10.1007/s11760-015-0821-1
2. Mebatsion HK, Paliwal J, Jayas DS (2013) Automatic classification of non-touching cereal grains in digital images using limited morphological and color features. Comput Electron Agric 90:99–105. https://doi.org/10.1016/j.compag.2012.09.007
3. Mittal S, Dutta MK, Issac A (2019) Non-destructive image processing based system for assessment of rice quality and defects for classification according to inferred commercial value. Measurement 148:106969. https://doi.org/10.1016/j.measurement.2019.106969
4. Ramirez-Paredes J-P, Hernandez-Belmonte U-H (2020) Visual quality assessment of malting barley using color, shape and texture descriptors. Comput Electron Agric 168:105110. https://doi.org/10.1016/j.compag.2019.105110
5. Raghavendra A, Guru DS, Rao MK (2021) Mango internal defect detection based on optimal wavelength selection method using NIR spectroscopy. Artif Intell Agric 5:43–51. https://doi.org/10.1016/j.aiia.2021.01.005
Cited by 13 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. Revolutionizing Mushroom Identification: Improving efficiency with ultrasound-assisted frozen sample analysis and deep learning techniques;Journal of Agriculture and Food Research;2024-03
2. FastSegFormer: A knowledge distillation-based method for real-time semantic segmentation of surface defects in navel oranges;Computers and Electronics in Agriculture;2024-02
3. Recognition of food images based on transfer learning and ensemble learning;PLOS ONE;2024-01-19
4. Predicting the quality attributes related to geographical growing regions in red-fleshed kiwifruit by data fusion of electronic nose and computer vision systems;BMC Plant Biology;2024-01-02
5. Filament-necking localization method via combining improved PSO with rotated rectangle algorithm for safflower-picking robots;Computers and Electronics in Agriculture;2023-12
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