An Advancing GCT-Inception-ResNet-V3 Model for Arboreal Pest Identification
Cheng Li,
Yunxiang Tian,
Xiaolin Tian
et al.
Abstract:The significance of environmental considerations has been highlighted by the substantial impact of plant pests on ecosystems. Addressing the urgent demand for sophisticated pest management solutions in arboreal environments, this study leverages advanced deep learning technologies to accurately detect and classify common tree pests, such as “mole cricket”, “aphids”, and “Therioaphis maculata (Buckton)”. Through comparative analysis with the baseline model ResNet-18 model, this research not only enhances the SE… Show more
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