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    • A remote sensing method for plot-level rice distribution extraction based on visual foundation models and knowledge fusion

      • role：First author第一作者
      • Affiliation：

        State Key Laboratory of Efficient Utilization of Arable Land in China, Key Laboratory of Agricultural Remote Sensing (AGRIRS) Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

      • Email：821012530348@caas.cn
      • Introduction：彭子萌，研究方向为农业遥感监测。E-mail： 821012530348@caas.cn

      PENG Zimeng

      1,
      • role：Corresponding author通信作者
      • Affiliation：

        State Key Laboratory of Efficient Utilization of Arable Land in China, Key Laboratory of Agricultural Remote Sensing (AGRIRS) Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

      • Email：duanyulin@caas.cn
      • Introduction：段玉林，研究方向为智慧农业。E-mail： duanyulin@caas.cn

      DUAN Yuling

      1 * ,
      • Affiliation：

        State Key Laboratory of Efficient Utilization of Arable Land in China, Key Laboratory of Agricultural Remote Sensing (AGRIRS) Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

      YU Qiangyi

      1,
      • Affiliation：

        State Key Laboratory of Efficient Utilization of Arable Land in China, Key Laboratory of Agricultural Remote Sensing (AGRIRS) Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

      Wu Wenbin

      1,
      • Affiliation：

        Department of Farmland Construction and Management, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Beijing 100125, China

      Zhang Shuai

      2,
      • Affiliation：

        State Key Laboratory of Efficient Utilization of Arable Land in China, Key Laboratory of Agricultural Remote Sensing (AGRIRS) Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

      Zhao Chunlei

      1,
      • Affiliation：

        Smart Tower Corporation Limited, Beijing 100089, China

      Li Boliang

      3,
      • Affiliation：

        Smart Tower Corporation Limited, Beijing 100089, China

      Zhang Xin

      3
    • Pages: 1-19(2026)  

    • DOI：10.11834/jrs.20265396    

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