Summary on fruit identification methods: A literature review

DOI

10.2991/essaeme-17.2017.338How to use a DOI?

Keywords

fruit detection, pattern recognition, classification, computer vision, image processing

Abstract

(Purposes) This paper shows the importance and necessity of intelligent identification technology of fruit detection. (Methods) We enumerate several state-of-the-art methods and illustrate the specific application in the process of recognition, by selecting eleven highly related literature. (Results) On this basis, we make an analysis and comparison on the advantages and disadvantages of each approaches. (Conclusion) This summary can be beneficial to researchers who are interested in fruit identification.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Fangyuan Liu
AU  - Leonid Snetkov
AU  - Dimas Lima
PY  - 2017/07
DA  - 2017/07
TI  - Summary on fruit identification methods: A literature review
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.338
DO  - 10.2991/essaeme-17.2017.338
ID  - Liu2017/07
ER  -