View in EDS

Few-shot and interpretable agentic framework based on large language models for data-efficient plant phenotyping.

Saved in:
Bibliographic Details
Title: Few-shot and interpretable agentic framework based on large language models for data-efficient plant phenotyping.
Authors: Cai, Wenyi1, Qi, Fubo1, Zha, Lingyan2, Chen, Guanzheng1, Zhang, Jingjin2, Song, Mengxuan3, Bao, Hua1, hua.bao@sjtu.edu.cn
Source: Computers & Electronics in Agriculture; Mar2026, Vol. 243, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191266150
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Few-shot and interpretable agentic framework based on large language models for data-efficient plant phenotyping.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Cai%2C+Wenyi%22">Cai, Wenyi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Qi%2C+Fubo%22">Qi, Fubo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zha%2C+Lingyan%22">Zha, Lingyan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Guanzheng%22">Chen, Guanzheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Jingjin%22">Zhang, Jingjin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Song%2C+Mengxuan%22">Song, Mengxuan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Bao%2C+Hua%22">Bao, Hua</searchLink><relatesTo>1</relatesTo>, <i>hua.bao@sjtu.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electronics+in+Agriculture%22">Computers & Electronics in Agriculture</searchLink>; Mar2026, Vol. 243, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191266150
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.compag.2025.111382
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Few-shot and interpretable agentic framework based on large language models for data-efficient plant phenotyping.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Cai, Wenyi
      – PersonEntity:
          Name:
            NameFull: Qi, Fubo
      – PersonEntity:
          Name:
            NameFull: Zha, Lingyan
      – PersonEntity:
          Name:
            NameFull: Chen, Guanzheng
      – PersonEntity:
          Name:
            NameFull: Zhang, Jingjin
      – PersonEntity:
          Name:
            NameFull: Song, Mengxuan
      – PersonEntity:
          Name:
            NameFull: Bao, Hua
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 01681699
          Numbering:
            – Type: volume
              Value: 243
          Titles:
            – TitleFull: Computers & Electronics in Agriculture
              Type: main
ResultId 1