Peaches Detection Using a Deep Learning Technique - A Contribution to Yield Estimation, Resources Management, and Circular Economy

Fruit detection is crucial for yield estimation and fruit picking system performance. Many state-of-the-art methods for fruit detection use convolutional neural networks (CNNs). This paper presents the results for peach detection by applying a faster R-CNN framework in images captured from an outdoo...

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Bibliographic Details
Main Author: Assunção, Eduardo Timóteo (author)
Other Authors: Gaspar, Pedro Dinis (author), Mesquita, Ricardo (author), Simões, Maria Paula (author), Ramos, António (author), Proença, H. (author), Inácio, Pedro R. M. (author)
Format: article
Language:eng
Published: 2022
Subjects:
Convolutional neural network
Deep learning
Fruit detection
Precision agriculture
Sustainability
Online Access:http://hdl.handle.net/10400.6/12133
Country:Portugal
Oai:oai:ubibliorum.ubi.pt:10400.6/12133

Internet

http://hdl.handle.net/10400.6/12133

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