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March 3, 2026Frontiers in Plant ScienceOpen Access

LightWaveNet: a lightweight wavelet-enhanced high-low-frequency-aware network with multi-stage supervision for rice disease recognition

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Authors

WPWeiqiang PiTZT. ZhangRWRongyang Wang

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Overview

This observational analysis reveals rapid disease identification in rice, suggesting improvements in agricultural recognition networks.

Key Points

  • Rapid rice disease identification is facilitated by the lightweight wavelet-based approach, improving efficiency.
  • The proposed method achieves high accuracy in disease recognition with multi-stage supervision for robustness.
  • Observational analysis across various rice fields demonstrates the effectiveness of the recognition network.
  • The findings highlight potential advancements in agricultural technology, making disease prevention more intelligent.

Cite This Study

Pi et al. (2026) studied this question.

synapsesocial.com/papers/69a75dcac6e9836116a28058https://doi.org/10.3389/fpls.2026.1692649
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