Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos

Highly technical agriculture uses a wide variety of techniques and external inputs to obtain optimal crop yields. It is interesting to have a tool that helps to visualize the different problems of the plants. At the beginning, to solve certain problems in plantations, the capture of images was carri...

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Κύριος συγγραφέας: Montero Zapata, Javier Elías (author)
Μορφή: bachelorThesis
Έκδοση: 2022
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author Montero Zapata, Javier Elías
author_facet Montero Zapata, Javier Elías
author_role author
collection Repositorio Universidad Técnica de Babahoyo
dc.contributor.none.fl_str_mv Mayorga Arias, David
dc.creator.none.fl_str_mv Montero Zapata, Javier Elías
dc.date.none.fl_str_mv 2022-04-26T21:34:55Z
2022-04-26T21:34:55Z
2022
dc.format.none.fl_str_mv 16 p.
application/pdf
dc.identifier.none.fl_str_mv http://dspace.utb.edu.ec/handle/49000/11311
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 Drones
Cámaras multiespectrales
Imágenes
Indices
dc.title.none.fl_str_mv Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bachelorThesis
description Highly technical agriculture uses a wide variety of techniques and external inputs to obtain optimal crop yields. It is interesting to have a tool that helps to visualize the different problems of the plants. At the beginning, to solve certain problems in plantations, the capture of images was carried out every 8 days, because the satellite took that long to return to the same point. Later, drones emerged, which are equipment propelled by several propellers and that can mount various types of cameras. The use of drones with the aim of diagnosing crop states is done by capturing aerial images. Multispectral imaging systems and techniques are located in drones and are small in size. From the multispectral images captured by this type of sensor, it is possible to determine different vegetation indices that indicate the physiology of plants. Multispectral cameras are characterized by capturing information between 3 and 7 bands. The information described in the investigation was carried out through the technique of analysis, synthesis and summary, in order for the reader to know about the importance of multispectral cameras. Due to the aforementioned, it was found that multispectral systems allow the capture of various light spectra and provide phenotyping, crop health mapping, irrigation management, fertilizer management, disease identification, species differentiation, among others. The main index used in crop monitoring is the NDVI index, since the use of different types of indices in the use of drones will allow us to increase crop production.
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http://creativecommons.org/licenses/by-nc-nd/3.0/ec/
spelling Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivosMontero Zapata, Javier ElíasDronesCámaras multiespectralesImágenesIndicesHighly technical agriculture uses a wide variety of techniques and external inputs to obtain optimal crop yields. It is interesting to have a tool that helps to visualize the different problems of the plants. At the beginning, to solve certain problems in plantations, the capture of images was carried out every 8 days, because the satellite took that long to return to the same point. Later, drones emerged, which are equipment propelled by several propellers and that can mount various types of cameras. The use of drones with the aim of diagnosing crop states is done by capturing aerial images. Multispectral imaging systems and techniques are located in drones and are small in size. From the multispectral images captured by this type of sensor, it is possible to determine different vegetation indices that indicate the physiology of plants. Multispectral cameras are characterized by capturing information between 3 and 7 bands. The information described in the investigation was carried out through the technique of analysis, synthesis and summary, in order for the reader to know about the importance of multispectral cameras. Due to the aforementioned, it was found that multispectral systems allow the capture of various light spectra and provide phenotyping, crop health mapping, irrigation management, fertilizer management, disease identification, species differentiation, among others. The main index used in crop monitoring is the NDVI index, since the use of different types of indices in the use of drones will allow us to increase crop production.Highly technical agriculture uses a wide variety of techniques and external inputs to obtain optimal crop yields. It is interesting to have a tool that helps to visualize the different problems of the plants. At the beginning, to solve certain problems in plantations, the capture of images was carried out every 8 days, because the satellite took that long to return to the same point. Later, drones emerged, which are equipment propelled by several propellers and that can mount various types of cameras. The use of drones with the aim of diagnosing crop states is done by capturing aerial images. Multispectral imaging systems and techniques are located in drones and are small in size. From the multispectral images captured by this type of sensor, it is possible to determine different vegetation indices that indicate the physiology of plants. Multispectral cameras are characterized by capturing information between 3 and 7 bands. The information described in the investigation was carried out through the technique of analysis, synthesis and summary, in order for the reader to know about the importance of multispectral cameras. Due to the aforementioned, it was found that multispectral systems allow the capture of various light spectra and provide phenotyping, crop health mapping, irrigation management, fertilizer management, disease identification, species differentiation, among others. The main index used in crop monitoring is the NDVI index, since the use of different types of indices in the use of drones will allow us to increase crop production.La agricultura altamente tecnificada utiliza una gran variedad de técnicas y aportaciones externas para obtener el rendimiento óptimo de los cultivos. Es interesante disponer de una herramienta que ayude a visualizar los diferentes problemas de las plantas. Al inicio para resolver ciertos problemas en plantaciones la captura de imágenes se realizaba cada 8 días, debido a que el satélite demoraba ese tiempo para regresar al mismo punto. Posteriormente, surgieron los drones, que son equipos propulsados por varias hélices y que pueden montar diversos tipos de cámaras. La utilización de drones con el objetivo de diagnosticar estados de cultivos, se realiza mediante la captura de imágenes aéreas. Los sistemas y técnicas de imágenes multiespectrales se ubican en los drones y son de pequeñas dimensiones. A partir de las imágenes multiespectrales que captan este tipo de sensores es posible determinar diferentes índices de vegetación que nos indican la fisiología de las plantas. Las cámaras multiespectrales se caracterizan por captar información entre 3 y 7 bandas. La información descrita en la investigación fue realizada a través de la técnica de análisis, síntesis y resumen, con la finalidad de que el lector conozca sobre la importancia de las cámaras multiespectrales. Por lo antes mencionado se encontró que los sistemas multiespectrales permiten capturar varios espectros de luz y proporcionan fenotipado, mapeo de salud de cultivos, gestión de riego, manejo de fertilizantes, identificación de enfermedades, diferenciación de especies, entre otras. El principal índice que se emplea en el monitoreo de cultivos es el índice de NDVI, ya que la utilización de diferentes tipos de índices en el uso de drones nos permitirá incrementar la producción de las cosechas.BABAHOYO: UTB, 2022Mayorga Arias, David2022-04-26T21:34:55Z2022-04-26T21:34:55Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis16 p.application/pdfhttp://dspace.utb.edu.ec/handle/49000/11311esAtribución-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:UTB2022-04-27T08:01:07Zoai:dspace.utb.edu.ec:49000/11311Institucionalhttp://dspace.utb.edu.ec/Universidad públicahttps://utb.edu.ec/http://dspace.utb.edu.ec/oai.Ecuador...opendoar:02026-02-28T22:26:43.271373Repositorio Universidad Técnica de Babahoyo - Universidad Técnica de Babahoyotrue
spellingShingle Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
Montero Zapata, Javier Elías
Drones
Cámaras multiespectrales
Imágenes
Indices
status_str publishedVersion
title Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
title_full Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
title_fullStr Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
title_full_unstemmed Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
title_short Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
title_sort Descripción del uso de cámaras multiespectrales en el diagnóstico de cultivos
topic Drones
Cámaras multiespectrales
Imágenes
Indices
url http://dspace.utb.edu.ec/handle/49000/11311