Tongyun Luo

Dr. Tongyun Luo


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2024 in International Journal of Agricultural and Biological Engineering
Verified
Journal Article
Closed access
JZjianguo zhou
jianguo zhou
YWYingkuan Wang
Yingkuan Wang
JCJun Chen
Jun Chen
TLTongyun Luo
Tongyun Luo
GHGuangrui Hu
Guangrui Hu
Adilet Muhituly SugirbayAdilet Muhituly Sugirbay
Adilet Muhituly Sugirbay

16 November 2023 in Horticulturae
Verified
Journal Article
Open access
PDF file
TLTongyun Luo
Tongyun Luo
JZjianguo zhou
jianguo zhou
SZShuo Zhang
Shuo Zhang
JCJun Chen
Jun Chen
Guangrui HuGuangrui Hu
Guangrui Hu
Adilet Muhituly SugirbayAdilet Muhituly Sugirbay
Adilet Muhituly Sugirbay
After automatic in-field picking, apple stem shortening requires fixing the apple position and maintaining a relatively stable posture, which puts high demands on the automatic apple-orienting structure. In this paper, a novel dual roller compact apple field orientation structure with dual rollers rotating in the same direction is proposed. It can realize the uniform orientation of apples after automatic picking in any attitude, and the apple auto-orientation phenomenon is theoretically analyzed based on the accurately established apple model, then the apple orientation test platform was set up and a monocular camera combined with YOLOv5m was used to determine the time of apple orientation. The results showed that 70.21% and 96.81% of the apples were respectively oriented within 7 s and 28 s with only two flexible rollers rotating in the corresponding direction. All the apples were oriented, and 95.24% of them moved along the axis toward the calyx end. The generalizability of the apple orientation device for different shapes of apples was then verified, and the relationship between the shape characteristics of apples and orientation speed was later illustrated. A structural basis was finally presented for automatic stem shortening and surface damage detection in the apple field.