Weed detection in cabbage fields using RGB and NIR images

This article evaluates the effectiveness of integrating near-infrared (NIR) data with RGB imaging in enhancing weed detection and classification in real-time field settings using the YOLO deep learning model family. Data was gathered from sown weed plots and various locations across Bohemia to docum...

Full description

Saved in:
Bibliographic Details
Main Authors: Adam Hruška, Pavel Hamouz, Jakub Lev, Josef Pavlíček, Milan Kroulík, Kateřina Hamouzová, Pavlína Košnarová, Josef Holec, Pavel Kouřím
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525004630
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items