DeepFruits: A Fruit Detection System Using Deep Neural Networks

This paper presents a novel approach to fruit detection using deep convolutional neural networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a vital element of an autonomous agricultural robotic platform; it is a key element for fruit yield estimation and aut...

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Detalles Bibliográficos
Autores principales: Sa, Inkyu, Ge, Zongyuan, Dayoub, Feras, Upcroft, Ben, Perez, Tristan, McCool, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017387/
https://www.ncbi.nlm.nih.gov/pubmed/27527168
http://dx.doi.org/10.3390/s16081222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017387/
https://www.ncbi.nlm.nih.gov/pubmed/27527168
http://dx.doi.org/10.3390/s16081222

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