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September 10, 2025AgronomyOpen Access

Frequency-Domain Collaborative Lightweight Super-Resolution for Fine Texture Enhancement in Rice Imagery

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The method achieves a 62% reduction in parameters compared to EDSR, improving efficiency in rice image processing.
In experiments, the proposed technique enhances detection metrics, with a 61.5% increase in mAP50 for rice panicle maturity detection.
An adaptive dual-branch structure facilitates better clarity in local details, addressing the challenges of rice image analysis.
The dynamic weight fusion mechanism balances global and local feature recovery, enhancing overall image quality for agricultural applications.

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Proposed technique improves texture detection in rice imagery, suggesting better pest identification and disease monitoring.

Zhang et al. (2025) studied this question.

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