88407 20200415145253.0 doi 10.3390/agriengineering2020012 sideral 117075 ART-2020-117075 eng Sánchez-Sastre, Luis Fernando UAV detection of Sinapis arvensis infestation in alfalfa plots using simple vegetation indices from conventional digital cameras 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/EUR/LIFE/CO2 Operation-LIFE11 ENV/ES-000535 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Casterad, M. Auxiliadora Guillén, Mónica Ruiz-Potosme, Norlan Miguel Alte da Veiga, Nuno M.S. Navas-Gracia, Luis Manuel (orcid)0000-0003-2713-2786 Martín-Ramos, Pablo Universidad de Zaragoza 5011 500 Universidad de Zaragoza Dpto. CC.Agrar.y Medio Natural Area Ingeniería Agroforestal 2, 2 (2020), 206-212 AgriEngineering AgriEngineering 2624-7402 https://www.mdpi.com/2624-7402/2/2/12 Texto completo de la revista 763388 http://zaguan.unizar.es/record/88407/files/texto_completo.pdf Versión publicada 451643 http://zaguan.unizar.es/record/88407/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:88407 articulos driver 2020-04-15-13:06:01 ARTICLE