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January 1, 2026International Journal of Sustainable Agricultural Management and Informatics

A lightweight deep learning approach for dual-side walnut kernel quality inspection via heterogeneous feature fusion

Hongsen Liao Wei Li Shaomin Lu Jianan Bai Jianchao Wang Jianlong Li Hailong Ti Jiahao Liu Fanfan Liao Hongping Zhou

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Key Points

This research aims to explore a lightweight deep learning method for inspecting walnut kernel quality.
Developed a deep learning model to inspect walnut kernels.
Utilized feature fusion techniques for quality assessment.
Targeted dual-side evaluation of walnut kernels.
Achieved enhanced quality inspection accuracy for walnut kernels.
Demonstrated efficiency in processing through a lightweight model.

Implication

Deep learning improves quality inspection of dual-side walnut kernels, indicating better accuracy and efficiency.

Abstract

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Cite This Study

Liao et al. (2026) studied this question.

synapsesocial.com/papers/69fbef68164b5133a91a33b1 https://doi.org/10.1504/ijsami.2026.10078173

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