APTES: a high-throughput deep learning–based Arabidopsis phenotypic trait estimation system for individual leaves and siliques

Authors

Sha Tao
Ruifang Zhai
Aobo Du
Fiona Corke (ORCID: https://orcid.org/0000-0001-5304-6713)
Wanneng Yang (ORCID: https://orcid.org/0000-0003-1095-1355)
Gina A. Garzón-Martínez (ORCID: https://orcid.org/0000-0001-5620-9055)
Ning Tang (ORCID: https://orcid.org/0000-0003-2185-4737)
John H. Doonan (ORCID: https://orcid.org/0000-0001-6027-1919)
Jiashi Wang
Yupu Huang
Zhi Liu (ORCID: https://orcid.org/0000-0001-8292-4562)
Tao Luo (ORCID: https://orcid.org/0000-0003-2255-5165)
Jinbao Liu (ORCID: https://orcid.org/0000-0003-2220-2407)
Xue Jiang (ORCID: https://orcid.org/0000-0001-7193-6744)

Institutions

Aberystwyth University (GB)
Henan University (CN)
Huazhong Agricultural University (CN)
Institute of Biological, Environmental and Rural Sciences (GB)

Publication Details

Journal: aBIOTECH
Published: 2025-10-31
DOI: https://doi.org/10.1007/s42994-025-00239-y
Primary Topic: Plant Molecular Biology Research
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China
Natural Science Foundation of Henan Province
National Key Research and Development Program of China
Fundamental Research Funds for the Central Universities

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article

APTES: a high-throughput deep learning–based Arabidopsis phenotypic trait estimation system for individual leaves and siliques

Sha Tao, Ruifang Zhai, Aobo Du, Fiona Corke et al.

Oct 31, 2025

aBIOTECH

Plant Molecular Biology Research

article

APTES: a high-throughput deep learning–based Arabidopsis phenotypic trait estimation system for individual leaves and siliques

Sha Tao, Ruifang Zhai, Aobo Du, Fiona Corke, Wanneng Yang, Gina A. Garzón-Martínez, Ning Tang, John H. Doonan, Jiashi Wang, Yupu Huang, Zhi Liu, Tao Luo, Jinbao Liu, Xue Jiang

October 31, 2025article en

Abstract

No abstract available for this paper.

aBIOTECHVol. 6(4)

Aberystwyth University (GB), Henan University (CN), Huazhong Agricultural University (CN), Institute of Biological, Environmental and Rural Sciences (GB)

National Natural Science Foundation of China, Natural Science Foundation of Henan Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities

Openalex Percentile: Top 77%

Plant Molecular Biology Research

DOI Open Access PDF OpenAlex

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