Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans

Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans

This study tested whether machine learning (ML) methods can effectively separate individual plants from complex 3D canopy laser scans as a prerequisite to analyzing particular plant features. For this, we scanned mung bean and chickpea crops with PlantEye (R) laser scanners. Firstly, we segmented th...

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Bibliographic Details
Main Authors: Serkan Kartal, Sunita Choudhary, Jan Masner, Jana Kholová, Michal Stočes, Priyanka Gattu, Stefan Schwartz, Ewaut Kissel
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
3D point clouds
plant detection
machine learning
computer vision
phenotyping
Online Access:https://www.mdpi.com/1424-8220/21/23/8022

Internet

https://www.mdpi.com/1424-8220/21/23/8022

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