Real-Time Point Recognition for Seedlings Using Kernel Density Estimators and Pyramid Histogram of Oriented Gradients

Real-Time Point Recognition for Seedlings Using Kernel Density Estimators and Pyramid Histogram of Oriented Gradients

This paper introduces a new real-time method based on a combination of kernel density estimators and pyramid histogram of oriented gradients for identifying a point of interest along the stem of seedlings suitable for stem–stake coupling, also known as the ‘clipping point’. The recognition of a clip...

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Bibliographic Details
Main Authors: Moteaal Asadi Shirzi, Mehrdad R. Kermani
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Actuators
Subjects:
precision agriculture
machine vision
object recognition
feature description
kernel density estimator
pyramid histogram of oriented gradients
Online Access:https://www.mdpi.com/2076-0825/13/3/81

Internet

https://www.mdpi.com/2076-0825/13/3/81

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