Supervised Hyperspectral Band Selection Using Texture Features for Classification of Citrus Leaf Diseases with YOLOv8

Supervised Hyperspectral Band Selection Using Texture Features for Classification of Citrus Leaf Diseases with YOLOv8

Citrus greening disease (HLB) and citrus canker cause financial losses in Florida citrus groves via smaller fruits, blemishes, premature fruit drop, and/or eventual tree death. Management of these two diseases requires early detection and distinction from other leaf defects and infections. Automated...

Full description

Saved in:
Bibliographic Details
Main Authors: Quentin Frederick, Thomas Burks, Jonathan Adam Watson, Pappu Kumar Yadav, Jianwei Qin, Moon Kim, Megan M. Dewdney
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
hyperspectral imagery (HSI)
citrus inspection
leaf inspection
band selection
feature extraction
YOLOv8
Online Access:https://www.mdpi.com/1424-8220/25/4/1034
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/25/4/1034

Similar Items