摘要Plants encounter a variety of beneficial and harmful insects during their growth cycle.Accurate identification (i.e.,detecting insects' presence) and classification (i.e.,determining the type or class) of these insect species is critical for implementing prompt and suitable mitigation strategies.Such timely actions carry substantial economic and environmental implications.Deep learning-based approaches have produced models with good insect classification accuracy.Researchers aim to implement identification and classification models in agriculture,facing challenges when input images markedly deviate from the training distribution (e.g.,images like vehicles,humans,or a blurred image or insect class that is not yet trained on).
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