Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline
Abstract Insect pests are known to be a major cause of damage to agricultural crops. This paper proposed a deep learning-based pipeline for localization and counting of agricultural pests in images by self-learning saliency feature maps. Our method integrates a convolutional neural network (CNN) of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-019-43171-0 |