An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study

An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study

Weed control is one of the biggest challenges in organic farms or nature reserve areas where mass spraying is prohibited. Recent advancements in remote sensing and airborne technologies provide a fast and efficient means to support environmental monitoring and management, allowing early detection of...

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Bibliographic Details
Main Authors: Olee Hoi Ying Lam, Marcel Dogotari, Moritz Prüm, Hemang Narendra Vithlani, Corinna Roers, Bethany Melville, Frank Zimmer, Rolf Becker
Format: Article
Language:English
Published: Taylor & Francis Group 2021-02-01
Series:European Journal of Remote Sensing
Subjects:
weed mapping
grassland management
open-source
unmanned aerial vehicle (uav)
rgb imagery
neural network
Online Access:http://dx.doi.org/10.1080/22797254.2020.1793687

Internet

http://dx.doi.org/10.1080/22797254.2020.1793687

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