Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features

Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features

Boundary contour determination during seedling image segmentation is critical for accurate object detection and morphological characterization in agricultural machine vision systems. The traditional manual annotation for segmentation is labor-intensive, time-consuming, and prone to errors, especiall...

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Bibliographic Details
Main Authors: Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Kyu-Ho Lee, Md Asrakul Haque, Md Razob Ali, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
smart seedling production
feature extraction
image analysis
image annotation
seedling detection
real-time monitoring
Online Access:https://www.mdpi.com/2073-4395/14/12/2940
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