# Precision Detection of Salt Stress in Soybean Seedlings Based on Deep Learning and Chlorophyll Fluorescence Imaging

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/precision-detection-of-salt-stress-in-soybean-seedlings-based-on-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yixin Deng,Nan Xin,Longgang Zhao,Hongtao Shi,Limiao Deng,Zhongzhi Han,Guangxia Wu |
| Citations | 16 |
| DOI | 10.3390/plants13152089 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2223-7747/13/15/2089/pdf?version=1722076288 |
| OpenAlex ID | https://openalex.org/W4401081533 |
| PMID | 39124207 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Longgang Zhao](https://scholariq.org/researchers/longgang-zhao/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.