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Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline
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 ZF (Zeile...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504937/ https://www.ncbi.nlm.nih.gov/pubmed/31065055 http://dx.doi.org/10.1038/s41598-019-43171-0 |