Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/52579
Título
UAV Detection of sinapis arvensis infestation in alfalfa plots using simple vegetation indices from conventional digital cameras
Autor
Año del Documento
2020
Editorial
MDPI
Descripción
Producción Científica
Documento Fuente
AgriEngineering, 2020, vol. 2, n. 2, p. 206-212
Resumo
Unmanned Aerial Vehicles (UAVs) offer excellent survey capabilities at low cost to provide farmers with information about the type and distribution of weeds in their fields. In this study, the problem of detecting the infestation of a typical weed (charlock mustard) in an alfalfa crop has been addressed using conventional digital cameras installed on a lightweight UAV to compare RGB-based indices with the widely used Normalized Difference Vegetation Index (NDVI) index. The simple (R−B)/(R+B) and (R−B)/(R+B+G) vegetation indices allowed one to easily discern the yellow weed from the green crop. Moreover, they avoided the potential confusion of weeds with soil observed for the NDVI index. The small overestimation detected in the weed identification when the RGB indices were used could be easily reduced by using them in conjunction with NDVI. The proposed methodology may be used in the generation of weed cover maps for alfalfa, which may then be translated into site-specific herbicide treatment maps.
Palabras Clave
Precision agriculture
Agricultura de precisión
Sinapis arvensis
Unmanned aerial vehicles
Vehículos aéreos no tripulados
ISSN
2624-7402
Revisión por pares
SI
Patrocinador
Unión Europea (project LIFE11 ENV/ES/000535)
Version del Editor
Propietario de los Derechos
© 2020 The Authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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