Morning Glory Flower Detection in Aerial Images Using Semi-Supervised Segmentation with Gaussian Mixture Models

Morning Glory Flower Detection in Aerial Images Using Semi-Supervised Segmentation with Gaussian Mixture Models

The invasive morning glory, <i>Ipomoea purpurea</i> (Convolvulaceae), poses a mounting challenge in vineyards by hindering grape harvest and as a secondary host of disease pathogens, necessitating advanced detection and control strategies. This study introduces a novel automated image an...

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Bibliographic Details
Main Authors: Sruthi Keerthi Valicharla, Jinge Wang, Xin Li, Srikanth Gururajan, Roghaiyeh Karimzadeh, Yong-Lak Park
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:AgriEngineering
Subjects:
Gaussian mixture model
invasive species
pest management
<i>Ipomoea purpurea</i>
unmanned aerial vehicles
unmanned aircraft system
Online Access:https://www.mdpi.com/2624-7402/6/1/34

Internet

https://www.mdpi.com/2624-7402/6/1/34

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