Work

Summary on fruit identification methods: A literature review

Year: 2017

Type: conference-paper

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.

Source: International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME)

DOI: 10.2991/essaeme-17.2017.338

Authors: Fangyuan Liu, Leonid Snetkov, Dimas Lima

Institutions: Nanjing Normal University, ITMO University, Universidade Federal de Santa Catarina

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: hybrid

Funder: Fundamental Research Funds for the Central Universities