An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

Accurate and timely detection of weeds between and within crop rows in the early growth stage is considered one of the main challenges in site-specific weed management (SSWM). In this context, a robust and innovative automatic object-based image analysis (OBIA) algorithm was developed on Unmanned Ae...

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Bibliographic Details
Main Authors: Ana I. de Castro, Jorge Torres-Sánchez, Jose M. Peña, Francisco M. Jiménez-Brenes, Ovidiu Csillik, Francisca López-Granados
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
Digital Surface Model
segmentation
precision agriculture
in-season post-emergence site-specific weed control
plant height
Online Access:http://www.mdpi.com/2072-4292/10/2/285

Internet

http://www.mdpi.com/2072-4292/10/2/285

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