2025
LitePest: Real-Time and Efficient Detection of Agricultural Pests Using an Advanced Lightweight Deep Learning Network
ICASSP 2025accepted
Pest detection is a challenging task due to the high visual similarity between species, their dense distribution in fields, and complex agricultural backgrounds. Existing models often have large parameter sizes, making them unsuitable for deployment on resource-constrained devices commonly used in a…