Development of an automated fruit classification system by using computer vision and deep learning.

Saved in:
Bibliographic Details
Title: Development of an automated fruit classification system by using computer vision and deep learning.
Authors: Mac TT; School of Mechanical Engineering, Hanoi University of Science and Technology, No 1 Dai Co Viet, Hanoi, Viet Nam., Bui HA; School of Mechanical and Automotive Engineering, Hanoi University of Industry, No. 298 Cau Dien Street, Hanoi, Viet Nam., Pham DV; School of Mechanical Engineering, Hanoi University of Science and Technology, No 1 Dai Co Viet, Hanoi, Viet Nam., Ly HH; School of Mechanical Engineering, Hanoi University of Science and Technology, No 1 Dai Co Viet, Hanoi, Viet Nam., Nguyen XT; School of Mechanical Engineering, Hanoi University of Science and Technology, No 1 Dai Co Viet, Hanoi, Viet Nam.
Source: HardwareX [HardwareX] 2026 Apr 20; Vol. 26, pp. e00775. Date of Electronic Publication: 2026 Apr 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101710262 Publication Model: eCollection Cited Medium: Internet ISSN: 2468-0672 (Electronic) Linking ISSN: 24680672 NLM ISO Abbreviation: HardwareX Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2468-0672
DOI:10.1016/j.ohx.2026.e00775