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Mapping Cynodon dactylon weed patches in vineyards using remote images from an unmanned aerial vehicle

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Mapping Cynodon dactylon weed patches in vineyards using remote images from an unmanned aerial vehicle

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Gonçalves Bazzo, CO. (2019). Mapping Cynodon dactylon weed patches in vineyards using remote images from an unmanned aerial vehicle. http://hdl.handle.net/10251/129413

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Title: Mapping Cynodon dactylon weed patches in vineyards using remote images from an unmanned aerial vehicle
Secondary Title: Mapeo de áreas ocupadas por la mala hierba Cynodon dactylon en viñedos usando imágenes remotas de vehículos aéreos no tripulados
Author: Gonçalves Bazzo, Clara Oliva
Director(s): Verdeguer Sancho, Mercedes María
UPV Unit: Universitat Politècnica de València. Departamento de Ecosistemas Agroforestales - Departament d'Ecosistemes Agroforestals
Read date / Event date:
2019-09-10
Issued date:
Abstract:
[ES] Uno de los mayores retos en la agricultura de precisión es la discriminación entre malas hierbas y cultivos en las imágenes digitales obtenidas por UAVs (vehículos aéreos no tripulados), ya que la similitud espectral ...[+]


[EN] A major challenge in precision agriculture refers to the discrimination of weeds from crops in digital images obtained by Unmanned Aerial Vehicles (UAVs), since the spectral similarity between weed and crop plants can ...[+]
Subjects: Segmentación , Clasificación , Índice de vegetación , RGB , RGNRI , Modelo digital de superficie , Segmentation , Classification , Vegetation index , Digital surface model
Copyrigths: Cerrado
Publisher:
Universitat Politècnica de València
degree: Máster Universitario Erasmus Mundus en Sanidad Vegetal en Agricultura Sostenible-Màster Universitari Erasmus Mundus en Sanitat Vegetal en Agricultura Sostenible / European Master's Degree in Plant Health in Sustainable Cropping Systems
Thanks:
This research work has been developed as a result of a mobility stay funded by the Erasmus+ -KA1 Erasmus Mundus Joint Master Degrees Programme of the European Commission under the PLANT HEALTH Project. This research was ...[+]
Type: Tesis de máster

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