000088394 001__ 88394
000088394 005__ 20200415145252.0
000088394 0247_ $$2doi$$a10.3390/agriengineering2010009
000088394 0248_ $$2sideral$$a117076
000088394 037__ $$aART-2020-117076
000088394 041__ $$aeng
000088394 100__ $$aSánchez-Sastre, Luis Fernando
000088394 245__ $$aAssessment of RGB vegetation indices to estimate chlorophyll content in sugar beet leaves in the final cultivation stage
000088394 260__ $$c2020
000088394 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088394 5203_ $$aEstimation of chlorophyll content with portable meters is an easy way to quantify crop nitrogen status in sugar beet leaves. In this work, an alternative for chlorophyll content estimation using RGB-only vegetation indices has been explored. In a first step, pictures of spring-sown ‘Fernanda KWS’ variety sugar beet leaves taken with a commercial camera were used to calculate 25 RGB indices reported in the literature and to obtain 9 new indices through principal component analysis (PCA) and stepwise linear regression (SLR) techniques. The performance of the 34 indices was examined in order to evaluate their ability to estimate chlorophyll content and chlorophyll degradation in the leaves under different natural light conditions along 4 days of the canopy senescence period. Two of the new proposed RGB indices were found to improve the already good performance of the indices reported in the literature, particularly for leaves featuring low chlorophyll contents. The 4 best indices were finally tested in field conditions, using unmanned aerial vehicle (UAV)-taken photographs of a sugar beet plot, finding a reasonably good agreement with chlorophyll-meter data for all indices, in particular for I2 and (R−B)/(R+G+B). Consequently, the suggested RGB indices may hold promise for inexpensive chlorophyll estimation in sugar beet leaves during the harvest time, although a direct relationship with nitrogen status still needs to be validated.
000088394 536__ $$9info:eu-repo/grantAgreement/EUR/LIFE/CO2 Operation-LIFE11 ENV/ES-000535
000088394 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000088394 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000088394 700__ $$aAlte da Veiga, Nuno M.S.
000088394 700__ $$aRuiz-Potosme, Norlan Miguel
000088394 700__ $$aCarrión-Prieto, Paula
000088394 700__ $$aMarcos-Robles, José Luis
000088394 700__ $$aNavas-Gracia, Luis Manuel
000088394 700__ $$0(orcid)0000-0003-2713-2786$$aMartín-Ramos, Pablo$$uUniversidad de Zaragoza
000088394 7102_ $$15011$$2500$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cArea Ingeniería Agroforestal
000088394 773__ $$g2, 1 (2020), 128-149$$pAgriEngineering$$tAgriEngineering$$x2624-7402
000088394 8564_ $$s1756055$$uhttps://zaguan.unizar.es/record/88394/files/texto_completo.pdf$$yVersión publicada
000088394 8564_ $$s485391$$uhttps://zaguan.unizar.es/record/88394/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000088394 909CO $$ooai:zaguan.unizar.es:88394$$particulos$$pdriver
000088394 951__ $$a2020-04-15-13:05:29
000088394 980__ $$aARTICLE