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

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.

Abstract