An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/10/2/285/pdf
Reference65 articles.
1. Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution
2. Assessing the potential of images from unmanned aerial vehicles (UAV) to support herbicide patch spraying in maize
3. A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
4. Weed detection for site-specific weed management: mapping and real-time approaches
5. Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery
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