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Mango Expert: a harvest-optimizing wearable decision support system based on multimodal optoelectronic fusion and graph temporal neural networks
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DOI：10.1016/j.compag.2026.111856.png)
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Abstract
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• An intelligent mango quality grading system using multimodal optoelectronic sensing. • A novel data fusion framework combining spectral and impedance features. • A dynamic spatiotemporal modeling approach integrating BiLSTM with graph attention networks. • The system achieves 98.54% classification accuracy outperforming existing unimodal methods. • The system boosts harvest efficiency by 60% and premium fruit value by 20–30%
Keywords:
mango quality grading
multimodal optoelectronic sensing
data fusion
BiLSTM
graph attention networks
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