Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree

Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree

Image/video processing for fruit detection in the tree using hard-coded feature extraction algorithms has shown high accuracy on fruit detection during recent years. While accurate, these approaches even with high-end hardware are still computationally intensive and too slow for real-time systems. T...

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Bibliographic Details
Main Authors: Kushtrim Bresilla, Giulio Demetrio Perulli, Alexandra Boini, Brunella Morandi, Luca Corelli Grappadelli, Luigi Manfrini
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Plant Science
Subjects:
computer vision
deep learning
fruit recognition
harvesting robot
precision agriculture
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.00611/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2019.00611/full

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