dc.contributorLupercio Novillo, Rosa Lucia
dc.creatorFajardo Martínez, Mercy Viviana
dc.creatorJaramillo Morocho, Johnny Ismael
dc.date.accessioned2023-06-02T16:29:04Z
dc.date.accessioned2024-12-04
dc.date.accessioned2023-08-10T15:20:49Z
dc.date.available2023-06-02T16:29:04Z
dc.date.available2024-12-04
dc.date.available2023-08-10T15:20:49Z
dc.date.created2023-06-02T16:29:04Z
dc.date.created2024-12-04
dc.date.issued2023-06-02
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/42006
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8152286
dc.description.abstractCorn is a crop of great importance worldwide, therefore most producers seek to determine the productive yield of their crop and for this, the chlorophyll content is essential since it is considered the most relevant plant property for the estimation of productivity. Based on this information, the present research aims to evaluate the chlorophyll content in the reproductive stage (R3) of the maize (Zea mays) crop, to estimate its yield using remote sensing techniques. We worked in three productive plots located in the parishes of Nulti (A and B) and El Valle (C). During the R3 stage, a photogrammetric flight was carried out with the Parrot Sequoia sensor incorporated to an unmanned aerial vehicle, post-processing was performed and multispectral images were obtained, then the Red Border Vegetation Index (NDRE) was calculated and contrasted with information acquired through the atLeaf CHL-PLUS chlorophyll meter for the validation of this technique. In addition, the survey of productive variables and the pertinent statistical analyses were carried out. The results show a high positive correlation for plot A (R2 = 0.79), while plots B and C obtained a moderate positive correlation (R2 = 0.69; R2 = 0.65 respectively). Regarding yield, the results indicated that there is a moderate correlation (R2 = 0.74) with the NDRE index, which means that this technique is a non-invasive alternative for the estimation of maize crop yield.
dc.languagespa
dc.publisherUniversidad de Cuenca
dc.relationTAG;498
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsopenAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.subjectClorofila
dc.subjectÍndice de vegetación
dc.subjectMaíz
dc.subjectTeledetección
dc.titleAnálisis del contenido de clorofila y rendimiento en cultivo de maíz (Zea mays) mediante técnicas de teledetección


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