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Visual-Based Flower Counting:Techniques and Applications

Siyang Zang Lei Shu Ru Han Xing Yang Grzegorz Cielniak Feiya Zhang

自动化学报（英文版）2026，Vol.13Issue(7)：1536-1557,22.

自动化学报（英文版）2026，Vol.13Issue(7)：1536-1557,22.DOI:10.1109/JAS.2026.126050

Visual-Based Flower Counting:Techniques and Applications

Siyang Zang ¹Lei Shu ²Ru Han ¹Xing Yang ³Grzegorz Cielniak ⁴Feiya Zhang¹

作者信息

1. College of Artificial Intelligence,Nanjing Agricultural University,Nanjing 210031,China
2. College of Artificial Intelligence,Nanjing Agricultural University,Nanjing 210031,China||School of Engineering,University of Lincoln,Lincoln LN6 7TS,U.K.||School of Computer Science,Guangdong University of Petrochemical Technology,Maoming 525000,China
3. College of Intelligent Manufacturing,Anhui Science and Technology University,Chuzhou 233100,China
4. Lincoln Institute for Agri-food Technology,University of Lincoln,Lincoln LN2 2LG,U.K.
折叠

摘要

关键词

Computer vision/deep learning/flower counting/image processing/smart agriculture

Key words

Computer vision/deep learning/flower counting/image processing/smart agriculture

引用本文复制引用

Siyang Zang,Lei Shu,Ru Han,Xing Yang,Grzegorz Cielniak,Feiya Zhang..Visual-Based Flower Counting:Techniques and Applications[J].自动化学报（英文版）,2026,13(7):1536-1557,22.

基金项目

This work was supported in part by the Foundation of Key Laboratory of Landscaping(KFL202402),the Ministry of Agriculture and Rural Affairs,China,and the Research Start-Up Fund for Talent Introduction of Nanjing Agricultural University(77H0603). （KFL202402）

自动化学报（英文版）

ISSN：2329-9266

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