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...

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Detalles Bibliográficos
Autores principales: Niyigena, Gildas, Lee, Sangjun, Kwon, Soonhwa, Song, Daebin, Cho, Byoung-Kwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299485/
https://www.ncbi.nlm.nih.gov/pubmed/37367339
http://dx.doi.org/10.3390/insects14060523

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