Evidence map›Paper›PMID 37885670›Full record

ArticleFrontiers in plant science2023

Continuous identification of the tea shoot tip and accurate positioning of picking points for a harvesting from standard plantations.

Kun Luo, Xuechen Zhang, Chengmao Cao, Zhengmin Wu, Kuan Qin, Chuan Wang, Weiqing Li, Le Chen, Wei Chen

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kun LuoCollege of Mechanical Engineering, Tongling University, Tongling, China.
Xuechen ZhangSchool of Engineering, Anhui Agricultural University, Hefei, China.
Chengmao CaoSchool of Engineering, Anhui Agricultural University, Hefei, China.
Zhengmin WuState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Kuan QinSchool of Engineering, Anhui Agricultural University, Hefei, China.
Chuan WangInstitute of Agricultural Engineering, Anhui Academy of Agricultural Sciences, Hefei, China.
Weiqing LiSchool of Engineering, Anhui Agricultural University, Hefei, China.
Le ChenSchool of Engineering, Anhui Agricultural University, Hefei, China.
Wei ChenInstitute of Agricultural Engineering, Anhui Academy of Agricultural Sciences, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the current problems of large positioning error, low picking efficiency, and high cost of tea shoot picking, a continuous and precise harvesting scheme for tea shoots based on a two-dimensional (2D) perspective is designed in this study. A high-speed harvesting method for tea shoots in a standardized tea plantation assembly line type was proposed. First, a 2D view recognition model of tea shoot tips in a multi-disturbance environment was constructed, and accurate picking point coordinates were determined by combining a skeleton algorithm and curve growth. To avoid the losses of recognition accuracy caused by the mistaken clamping of blades and vibrations during harvester operations, accurate control of the harvester was realized by combining path planning and the S-curve speed control function. The recognition accuracy for the verification set of the recognition model was 99.9%, and the mean average precision (0.5:0.95) value was 0.97. The test results show that the error between the actual picking point position and the position determined by the model was within ± 3 mm, and the picking success rate was 83.6%. Therefore, we can realize fast and accurate picking of tea shoots and lay the foundation for continuous tea picking in the future by simplifying the identification and picking process.

Indexed as

continuous pickinglow-damage pickertea shootstwo-dimensional imagingYou Only Look Once

Identifiers

PMID37885670
PMCPMC10598852

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.