Machine Learning Feature Extraction Based on Binary Pixel Quantification Using Low-Resolution Images for Application of Unmanned Ground Vehicles in Apple Orchards

Machine Learning Feature Extraction Based on Binary Pixel Quantification Using Low-Resolution Images for Application of Unmanned Ground Vehicles in Apple Orchards

Deep learning and machine learning (ML) technologies have been implemented in various applications, and various agriculture technologies are being developed based on image-based object recognition technology. We propose an orchard environment free space recognition technology suitable for developing...

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Bibliographic Details
Main Authors: Hong-Kun Lyu, Sanghun Yun, Byeongdae Choi
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Agronomy
Subjects:
machine learning (ML)
unmanned ground vehicle (UGV)
orchard
binary image
feature extraction
ensemble model
Online Access:https://www.mdpi.com/2073-4395/10/12/1926

Internet

https://www.mdpi.com/2073-4395/10/12/1926

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