Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harvesting process in greenhouses, the visual perception system needs to detect the tomato in any life cycle stage (flower to...

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Detalles Bibliográficos
Autores principales: Magalhães, Sandro Augusto, Castro, Luís, Moreira, Germano, dos Santos, Filipe Neves, Cunha, Mário, Dias, Jorge, Moreira, António Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160895/
https://www.ncbi.nlm.nih.gov/pubmed/34065568
http://dx.doi.org/10.3390/s21103569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160895/
https://www.ncbi.nlm.nih.gov/pubmed/34065568
http://dx.doi.org/10.3390/s21103569

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