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Recognizing pests in field-based images by Combining spatial and channel attention mechanism
2021
IEEE Access
Large scale pest recognition is one of crucial components in pest management in outdoor conditions, which is much more difficult than common object recognition because of the variational image acquisition direction, location, pest size and complex image background. To overcome the challenges, this study proposes a CNN model by combining spatial attention mechanism and channel attention mechanism to realize accurate pest location and recognition in field images. The proposed model consists of
doi:10.1109/access.2021.3132486
fatcat:ymnmbzgkvfffxl7mdxwbvknh5a