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...
Main Authors: | Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez, Chris McCool |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/8/1222 |
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