DeepFruits: A Fruit Detection System Using Deep Neural Networks

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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Bibliographic Details
Main Authors: Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez, Chris McCool
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Sensors
Subjects:
visual fruit detection
deep convolutional neural network
multi-modal
rapid training
real-time performance
harvesting robots
horticulture
agricultural robotics
Online Access:http://www.mdpi.com/1424-8220/16/8/1222

Internet

http://www.mdpi.com/1424-8220/16/8/1222

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