InsectMamba: Insect Pest Classification with State Space Model

arXiv:2404.03611v1 Announce Type: new
Abstract: The classification of insect pests is a critical task in agricultural technology, vital for ensuring food security and environmental sustainability. However, the complexity of pest identification, due to factors like high camouflage and species diversity, poses significant obstacles. Existing methods struggle with the fine-grained feature extraction needed to distinguish between closely related pest species. Although recent advancements have utilized modified network structures and combined deep learning approaches to improve accuracy, challenges persist due to the …

abstract arxiv classification complexity cs.ai cs.cv diversity environmental environmental sustainability extraction feature feature extraction fine-grained food however identification obstacles security space species state state space model struggle sustainability technology type vital