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SSL-GAT:A self-supervised learning-based graph attention network for agricultural machinery trajectory operation mode identification

Weixin Zhai Zekun Lyu Zhichao Li Jiawen Pan Defang Li Deming Sun Usmon Mamur Mahmadyorzoda Nozim Numon Alizoda

International Journal of Agricultural and Biological Engineering2026，Vol.19Issue(2)：P.282-293,12.

International Journal of Agricultural and Biological Engineering2026，Vol.19Issue(2)：P.282-293,12.DOI:10.25165/j.ijabe.20261902.9966

SSL-GAT:A self-supervised learning-based graph attention network for agricultural machinery trajectory operation mode identification

Weixin Zhai ¹Zekun Lyu ¹Zhichao Li ¹Jiawen Pan ²Defang Li ³Deming Sun ³Usmon Mamur Mahmadyorzoda ⁴Nozim Numon Alizoda⁴

作者信息

1. College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China
2. College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China College of Computer and Information Sciences,Fujian Agriculture and Forestry University,Fuzhou 350002,China Center for Artificial Intelligence in Agriculture,Fujian Agriculture and Forestry University,Fuzhou 350002,China Department of Geography,Ghent University,Krijgslaan 281 S8,9000,Ghent,Belgium
3. Weichai Lovol Intelligent Agricultural Technology CO.,LTD,Weifang 261206,China
4. Tajik Agrarian University named after Shirinsho Shotemur,Dushanbe 734003,Republic of Tajikistan
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摘要

关键词

agricultural machinery trajectory operation mode identification/multi-dimensional feature enhancement module/bidirectional feature fusion module/attention mechanism/self-supervised learning

分类

农业科技

引用本文复制引用

Weixin Zhai,Zekun Lyu,Zhichao Li,Jiawen Pan,Defang Li,Deming Sun,Usmon Mamur Mahmadyorzoda,Nozim Numon Alizoda..SSL-GAT:A self-supervised learning-based graph attention network for agricultural machinery trajectory operation mode identification[J].International Journal of Agricultural and Biological Engineering,2026,19(2):P.282-293,12.

基金项目

financially supported by the National Key Research and Development Program of China(Grant No.2025YFE0103600 and 2021YFB3901300) （Grant No.2025YFE0103600 and 2021YFB3901300）

the National Natural Science Foundation of China(Grant No.32301691) （Grant No.32301691）

the China Scholarship Council(Grant No.202306350108) （Grant No.202306350108）

the 2115 Talent Development Program of China Agricultural University。（）

International Journal of Agricultural and Biological Engineering

ISSN：1934-6344

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