Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)

Precision agriculture originated as a set of practices used by farmers to manage crop fertilization using drone technology to reduce the excessive use of foliar products, thus saving money and reducing environmental damage. That is why, the present research offers an approach to the impact of the us...

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Hovedforfatter: Vera Acosta, Juan José (author)
Format: bachelorThesis
Udgivet: 2022
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Online adgang:http://dspace.utb.edu.ec/handle/49000/13290
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author Vera Acosta, Juan José
author_facet Vera Acosta, Juan José
author_role author
collection Repositorio Universidad Técnica de Babahoyo
dc.contributor.none.fl_str_mv Ramírez Castro, Emilio
dc.creator.none.fl_str_mv Vera Acosta, Juan José
dc.date.none.fl_str_mv 2022-11-15T21:35:00Z
2022-11-15T21:35:00Z
2022
dc.format.none.fl_str_mv 39 p.
application/pdf
dc.identifier.none.fl_str_mv http://dspace.utb.edu.ec/handle/49000/13290
dc.language.none.fl_str_mv es
dc.publisher.none.fl_str_mv BABAHOYO: UTB, 2022
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 Ecuador
http://creativecommons.org/licenses/by-nc-nd/3.0/ec/
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica de Babahoyo
instname:Universidad Técnica de Babahoyo
instacron:UTB
dc.subject.none.fl_str_mv Maíz
Agricultura de precisión
Pulverización
Sostenibilidad
dc.title.none.fl_str_mv Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bachelorThesis
description Precision agriculture originated as a set of practices used by farmers to manage crop fertilization using drone technology to reduce the excessive use of foliar products, thus saving money and reducing environmental damage. That is why, the present research offers an approach to the impact of the use of drones in spraying on corn crops, scientific, academic publications, books and theses were examined. Therefore, it is convenient to highlight that drones can fly at short distances from the ground, allow rapid detection and transfer of information to the user, since the collection of data is necessary to calculate the variable rate of fertilization, this information is obtained mainly through yield maps, soil mapping and mobile sensors. Therefore, in summary, using drones for corn crop monitoring is too useful, as they can acquire high-resolution images in different wavebands. The multispectral or RGB channel images can be converted into vegetation indices such as Normalized Difference Vegetation Index (NDVI) and Wide Dynamic Range Vegetation Index (WDRI). These indices can effectively distinguish living plants from the ground, which is critical for determining early season plant spacing. Several types of multispectral indices are now available, which can help capture crop variability with respect to nitrogen contributions and yield.
eu_rights_str_mv openAccess
format bachelorThesis
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instname_str Universidad Técnica de Babahoyo
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network_acronym_str UTB
network_name_str Repositorio Universidad Técnica de Babahoyo
oai_identifier_str oai:dspace.utb.edu.ec:49000/13290
publishDate 2022
publisher.none.fl_str_mv BABAHOYO: UTB, 2022
reponame_str Repositorio Universidad Técnica de Babahoyo
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica de Babahoyo - Universidad Técnica de Babahoyo
repository_id_str 0
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 Ecuador
http://creativecommons.org/licenses/by-nc-nd/3.0/ec/
spelling Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)Vera Acosta, Juan JoséMaízAgricultura de precisiónPulverizaciónSostenibilidadPrecision agriculture originated as a set of practices used by farmers to manage crop fertilization using drone technology to reduce the excessive use of foliar products, thus saving money and reducing environmental damage. That is why, the present research offers an approach to the impact of the use of drones in spraying on corn crops, scientific, academic publications, books and theses were examined. Therefore, it is convenient to highlight that drones can fly at short distances from the ground, allow rapid detection and transfer of information to the user, since the collection of data is necessary to calculate the variable rate of fertilization, this information is obtained mainly through yield maps, soil mapping and mobile sensors. Therefore, in summary, using drones for corn crop monitoring is too useful, as they can acquire high-resolution images in different wavebands. The multispectral or RGB channel images can be converted into vegetation indices such as Normalized Difference Vegetation Index (NDVI) and Wide Dynamic Range Vegetation Index (WDRI). These indices can effectively distinguish living plants from the ground, which is critical for determining early season plant spacing. Several types of multispectral indices are now available, which can help capture crop variability with respect to nitrogen contributions and yield.Precision agriculture originated as a set of practices used by farmers to manage crop fertilization using drone technology to reduce the excessive use of foliar products, thus saving money and reducing environmental damage. That is why, the present research offers an approach to the impact of the use of drones in spraying on corn crops, scientific, academic publications, books and theses were examined. Therefore, it is convenient to highlight that drones can fly at short distances from the ground, allow rapid detection and transfer of information to the user, since the collection of data is necessary to calculate the variable rate of fertilization, this information is obtained mainly through yield maps, soil mapping and mobile sensors. Therefore, in summary, using drones for corn crop monitoring is too useful, as they can acquire high-resolution images in different wavebands. The multispectral or RGB channel images can be converted into vegetation indices such as Normalized Difference Vegetation Index (NDVI) and Wide Dynamic Range Vegetation Index (WDRI). These indices can effectively distinguish living plants from the ground, which is critical for determining early season plant spacing. Several types of multispectral indices are now available, which can help capture crop variability with respect to nitrogen contributions and yield.La agricultura de precisión se originó como un conjunto de prácticas utilizadas por los agricultores para gestionar la fertilización de los cultivos utilizando la tecnología de los drones para reducir el uso excesivo de productos foliares, ahorrando así dinero y reduciendo el daño medioambiental. Es por ello, que la presente investigación ofrece un enfoque del impacto del uso de los drones en la aspersión sobre los cultivos de maíz, se examinaron publicaciones científicas, académicas, libros y tesis. Por consiguiente, es conveniente resaltar que los drones pueden volar a distancias cortas desde el suelo, permiten la detección rápida y transferencia de información al usuario, dado que la recolección de los datos es necesario para calcular la tasa variable de fertilización, esta información se obtiene principalmente a través de mapas de rendimiento, mapeo de suelo y sensores móviles. Por lo tanto, en síntesis, utilizar los drones para el control de los cultivos de maíz es demasiado útil, ya que pueden adquirir imágenes de alta resolución en diferentes bandas de ondas. Las imágenes multiespectrales o de canal RGB pueden convertirse en índices de vegetación como el Índice de Vegetación de Diferencia Normalizada (NDVI) y el Índice de Vegetación de Rango Dinámico Amplio (WDRI). Estos índices pueden distinguir eficazmente las plantas vivas del suelo, lo que es fundamental para determinar el espaciado de las plantas al principio de la temporada. En la actualidad existen varios tipos de índices multiespectrales, los cuales pueden ayudar a captar la variabilidad de los cultivos respecto a las contribuciones de nitrógeno y el rendimiento.BABAHOYO: UTB, 2022Ramírez Castro, Emilio2022-11-15T21:35:00Z2022-11-15T21:35:00Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis39 p.application/pdfhttp://dspace.utb.edu.ec/handle/49000/13290esAtribución-NoComercial-SinDerivadas 3.0 Ecuadorhttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica de Babahoyoinstname:Universidad Técnica de Babahoyoinstacron:UTB2022-11-16T08:01:14Zoai:dspace.utb.edu.ec:49000/13290Institucionalhttp://dspace.utb.edu.ec/Universidad públicahttps://utb.edu.ec/http://dspace.utb.edu.ec/oai.Ecuador...opendoar:02026-03-21T23:25:43.186096Repositorio Universidad Técnica de Babahoyo - Universidad Técnica de Babahoyotrue
spellingShingle Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
Vera Acosta, Juan José
Maíz
Agricultura de precisión
Pulverización
Sostenibilidad
status_str publishedVersion
title Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
title_full Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
title_fullStr Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
title_full_unstemmed Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
title_short Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
title_sort Impacto del uso de los drones para realizar aspersiones en plantaciones de maíz (Zea mays)
topic Maíz
Agricultura de precisión
Pulverización
Sostenibilidad
url http://dspace.utb.edu.ec/handle/49000/13290