Integrating Multiscale Linear Attention and Focal Loss for Robust Pest Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3473536
Abstract: Agricultural pests significantly impact crop yield and quality, threatening food security and causing economic losses. Therefore, the precise identification of pests is crucial for improving agricultural production. However, traditional pest classification methods struggle to capture… read more here.
Keywords: pest classification; linear attention; attention; focal loss ... See more keywords
Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2025.1500571
Abstract: Pests are a major cause of crop loss globally, and accurate pest identification is crucial for effective prevention and control strategies. This paper proposes a novel deep-learning architecture for crop pest classification, addressing the limitations… read more here.
Keywords: pest classification; fine grained; feature fusion; crop ... See more keywords