Fruit recognition from images using deep learning
Author:
Affiliation:
1. Faculty of Mathematics and Computer Science , Babeş-Bolyai University , Cluj-Napoca , Romania
2. Faculty of Exact Sciences and Engineering , “1 Decembrie 1918”University of Alba , Iulia, Alba Iulia , Romania
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/ausi-2018-0002
Reference33 articles.
1. [1] S. Arivazhagan, N. Shebiah, S. Nidhyanandhan, L.Ganesan, Fruit recognition using color and texture features, Journal of Emerging Trends in Computing and Information Sciences, 1, 2 (2010) 90–94. ⇒29
2. [2] S. Bargoti, J. Underwood, Deep fruit detection in orchards, IEEE International Conference on Robotics and Automation (ICRA), 2017, pp. 3626–3633. ⇒28
3. [3] R. Barth, J. Ijsselmuiden, J. Hemming, E. Van Henten, Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset, Computers and Electronics in Agriculture144 (2018) 284–296. ⇒29
4. [4] T. F. Chan, L. Vese, Active contours without edges. IEEE Trans. Image Process10, (2001) 266–277. ⇒29
5. [5] H. Cheng, L. Damerow, Y. Sun, M. Blanke, Early yield prediction using image analysis of apple fruit and tree canopy features with neural networks, Journal of Imaging, 3, 1 (2017) 6. ⇒29
Cited by 203 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. A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems;IEEE Reviews in Biomedical Engineering;2024
2. HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training;2023 IEEE International Conference on Big Data (BigData);2023-12-15
3. Evaluation of the Influence of Multispectral Imaging for Object Detection in Pineapple Crops;2023 IEEE 5th International Conference on BioInspired Processing (BIP);2023-11-28
4. The Potential Application of Innovative Methods in Neural Networks for Surface Crack Recognition of Unshelled Hazelnut;Journal of Food Processing and Preservation;2023-11-08
5. Efficient probability intervals for classification using inductive venn predictors;Pattern Recognition;2023-11
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