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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Autors principals:	Moteaal Asadi Shirzi, Mehrdad R. Kermani
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-02-01
Col·lecció:	Actuators
Matèries:	precision agriculture machine vision object recognition feature description kernel density estimator pyramid histogram of oriented gradients
Accés en línia:	https://www.mdpi.com/2076-0825/13/3/81
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