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Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT
This study aimed to produce a robust real-time pear fruit counter for mobile applications using only RGB data, the variants of the state-of-the-art object detection model YOLOv4, and the multiple object-tracking algorithm Deep SORT. This study also provided a systematic and pragmatic methodology for...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309787/ https://www.ncbi.nlm.nih.gov/pubmed/34300543 http://dx.doi.org/10.3390/s21144803 |