Intelligent Classification of Biodegradable Plastic Bags Based on Hyperspectral Imaging and Attention Fusion Model

JIANG Hong; ZHANG Xiancheng; ZHAO Xi; HAO Yifan; YI Rongnan; YAN Xiaojun

doi:10.19554/j.cnki.1001-3563.2026.11.026

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (11) : 258-264. DOI: 10.19554/j.cnki.1001-3563.2026.11.026

Green Packaging and Circular Economy

Intelligent Classification of Biodegradable Plastic Bags Based on Hyperspectral Imaging and Attention Fusion Model

JIANG Hong^1,2a,3*, ZHANG Xiancheng^2b, ZHAO Xi^2b, HAO Yifan^2a, YI Rongnan¹, YAN Xiaojun⁴

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Abstract

The work aims to establish a rapid, non-destructive method for distinguishing between biodegradable and non-biodegradable plastic bags. Hyperspectral data of 56 plastic bag samples were acquired with a hyperspectral imaging system (900-2 500 nm). A supervised autoencoder was employed to reduce the 392 spectral bands to 32-dimensional latent variables. A three-level hierarchical classification strategy was constructed, and a multilayer perceptron (MLP), a convolutional neural network (CNN), a recurrent neural network (RNN) and an attention fusion model were trained and evaluated for classification. Results showed that in the first classification (bio-based vs. petroleum-based), the attention fusion model achieved an accuracy of 96.10%; in the second classification (bio-based sub-classification), its F1 score reached 0.962; in the third classification (petroleum-based sub-classification), all models achieved 100% recognition rate. In conclusion, the proposed architecture, combining hyperspectral technology with deep ensemble models, enables high-precision automatic classification of degradable plastic bags. It not only provides technical support for the recycling and intelligent sorting of functional biomass-based packaging materials, facilitating the resource utilization of green packaging waste, but also offers an effective technical solution for forensic evidence examination.

Key words

plastic shopping bags / hyperspectral imaging / degradable plastics / attention fusion model / green packaging recycling / forensic evidence classification

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JIANG Hong, ZHANG Xiancheng, ZHAO Xi, HAO Yifan, YI Rongnan, YAN Xiaojun. Intelligent Classification of Biodegradable Plastic Bags Based on Hyperspectral Imaging and Attention Fusion Model[J]. Packaging Engineering. 2026, 47(11): 258-264 https://doi.org/10.19554/j.cnki.1001-3563.2026.11.026

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