Tri-Band Vis-NIR Spectroscopy with Color Residual-Variance Gated Attention Fusion for Rapid Assessment of Hongmeiren (

Anan Tao, Longfei Ye, Chaoxu Yu, Liuye Cao, Tiantian Pan, Fei Liu

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Anan TaoGreen Development Center, Bureau of Agriculture and Rural Affairs of Xiangshan County, Ningbo 315799, China.

Longfei YeZhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.

Chaoxu YuGreen Development Center, Bureau of Agriculture and Rural Affairs of Xiangshan County, Ningbo 315799, China.

Liuye CaoZhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.

Tiantian PanZhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.ORCID 0009-0004-5246-5333

Fei LiuZhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.ORCID 0000-0003-0266-6896

Funding

National Key R&D Program of China 2023YFD2000203Ningbo Science and Technology Bureau 2024S099

6 · The paper itself

Abstract

Rapid assessment of internal fruit quality is essential for fruit grading, postharvest management, and consumer-oriented quality evaluation. Among the quality attributes, soluble solids content (SSC) is a key indicator of citrus sweetness and maturity. Visible and near-infrared (Vis-NIR) spectroscopy provides an effective approach for rapid SSC detection in fruit. However, most existing studies rely on single full-spectrum models or simple band stacking strategies, which limits their ability to fully exploit complementary information among different spectral sub-bands. To address this limitation, a color residual-variance gated attention fusion network (CR-VGAFNet) is proposed for efficient SSC assessment in Hongmeiren. On the independent prediction set, CR-VGAFNet achieved a prediction correlation coefficient (R

Indexed as

citrusdata fusiondeep learningsoluble solids content detectionVis–NIR spectroscopy

Identifiers

PMID42737409

DOI10.3390/foods15173166

PMCPMC13565095

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.