Design of machine vision-based navel orange grading system

Shuo Wang; Li-ke Han; Xi-you Le

doi:10.1117/12.3007117

25 October 2023 Design of machine vision-based navel orange grading system

Shuo Wang, Li-ke Han, Xi-you Le

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128014T (2023) https://doi.org/10.1117/12.3007117
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

Navel oranges, as an agricultural product, are rich in nutrition and sweet in taste. Ganzhou, as one of the main places for navel orange production, produces a large number of navel oranges every year. As the production of navel oranges continues to increase, the burden added to navel orange grading is also increasing. A navel orange grading system was designed to address the situation of high intensity and low automation of navel orange grading. The system utilizes machine vision technology and is programmed by LabVIEW software to grade navel oranges online in real time, which improves the automation level of navel orange grading and makes the efficiency of navel orange grading higher

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuo Wang, Li-ke Han, and Xi-you Le "Design of machine vision-based navel orange grading system", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128014T (25 October 2023); https://doi.org/10.1117/12.3007117

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