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

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 Authors: Eduardo T. Assunção, Pedro D. Gaspar, Ricardo J. M. Mesquita, Maria P. Simões, António Ramos, Hugo Proença, Pedro R. M. Inacio
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Climate
Subjects:
convolutional neural network
deep learning
fruit detection
precision agriculture
sustainability
Online Access:https://www.mdpi.com/2225-1154/10/2/11

Internet

https://www.mdpi.com/2225-1154/10/2/11

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