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Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features

Nan Jiang Zaiqiang Yang Hanqi Zhang Chengjing Zhang Canyue Wang Na Wang Chao Xu

植物表型组学（英文）2025，Vol.7Issue(2)：98-115,18.

植物表型组学（英文）2025，Vol.7Issue(2)：98-115,18.DOI:10.1016/j.plaphe.2025.100041

Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features

Nan Jiang ¹Zaiqiang Yang ¹Hanqi Zhang ¹Chengjing Zhang ¹Canyue Wang ¹Na Wang ¹Chao Xu²

作者信息

1. School of Ecology and Applied Meteorology,Nanjing University of Information Science & Technology,Nanjing,210044,PR China
2. Institute of Horticulture,Jiangxi Academy of Agricultural Sciences,Nanchang,330299,PR China
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摘要

关键词

Cold stress monitoring and early warning/Explainable machine learning/Fragaria × ananassa Duch./Phenotypic spatial variability features/Photosynthetic physiology

Key words

Cold stress monitoring and early warning/Explainable machine learning/Fragaria × ananassa Duch./Phenotypic spatial variability features/Photosynthetic physiology

引用本文复制引用

Nan Jiang,Zaiqiang Yang,Hanqi Zhang,Chengjing Zhang,Canyue Wang,Na Wang,Chao Xu..Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features[J].植物表型组学（英文）,2025,7(2):98-115,18.

基金项目

This work was supported by the National Natural Science Foundation of China[grant number 42275200] （）

the Postgraduate Research & Prac-tice Innovation Program of Jiangsu Province[grant number KYCX24_1446] （）

and the National Natural Science Foundation of China[grant number 32360443]. （）

植物表型组学（英文）

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