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Real-Time Detection and Classification of Scirtothrips dorsalis on Fruit Crops with Smartphone-Based Deep Learning System: Preliminary Results
SIMPLE SUMMARY: This study developed a real-time thrips detection application to classify the Scirtothrips dorsalis from other thrips species, and was optimized for working on embedded devices, such as smartphones. The performances of several deep learning models, including YOLOv5, Faster R-CNN, SSD...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299485/ https://www.ncbi.nlm.nih.gov/pubmed/37367339 http://dx.doi.org/10.3390/insects14060523 |