Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification

The prediction of normalized vegetation indices in coffee crops using multispectral images obtained by aerial mapping aims to generate a technological strategy using aerial mapping employing drones (RPAS) to predict normalized vegetation index (ENDVI) in coffee crops. During the research process, re...

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Autores principales: Vivas Fernández, Kevin, Muñoz Reyes, Jhon Álvaro, Ruiz Sarzosa, Saúl Eduardo, Solis Pino, Andrés Felipe, Anacona Chicangana, Amalfy
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Aerial mapping
Precision agriculture
Spectral index
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/158910
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-158910
record_format dspace
spelling I19-R120-10915-1589102023-10-17T20:01:36Z http://sedici.unlp.edu.ar/handle/10915/158910 Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification Vivas Fernández, Kevin Muñoz Reyes, Jhon Álvaro Ruiz Sarzosa, Saúl Eduardo Solis Pino, Andrés Felipe Anacona Chicangana, Amalfy 2022 2023 2023-10-17T12:50:15Z en Ciencias Informáticas Aerial mapping Precision agriculture Spectral index The prediction of normalized vegetation indices in coffee crops using multispectral images obtained by aerial mapping aims to generate a technological strategy using aerial mapping employing drones (RPAS) to predict normalized vegetation index (ENDVI) in coffee crops. During the research process, reference is made to the ENDVI according to the multispectral footprints generated by the different nutrients on the plants in the production stage of the coffee crop, using RPAS for the realization of aerial mapping works in precision agriculture. This reflects the importance of implementing technological tools to improve the planning of agricultural activities, predict damage and decide in situations that affect the development of coffee crops. This study took multispectral images of coffee crops from aerial mapping in the coffee plantations of the Popayan plateau region. It will also analyze the health status of the plants using a chlorophyll meter. From this comparative analysis of the different ENDVI, it is possible to define management alternatives to improve production. However, the images will be captured with unique cameras incorporated in the RPAS, allowing the identification of the variations of the lots and coffee plants in the formative stage of their phenological development, the absorption of nutrients, and the water stress of the crop. Finally, some strategies for integrating expert systems in aerial mapping are proposed. Facultad de Informática Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 131-136
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Aerial mapping
Precision agriculture
Spectral index
spellingShingle Ciencias Informáticas
Aerial mapping
Precision agriculture
Spectral index
Vivas Fernández, Kevin
Muñoz Reyes, Jhon Álvaro
Ruiz Sarzosa, Saúl Eduardo
Solis Pino, Andrés Felipe
Anacona Chicangana, Amalfy
Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
topic_facet Ciencias Informáticas
Aerial mapping
Precision agriculture
Spectral index
description The prediction of normalized vegetation indices in coffee crops using multispectral images obtained by aerial mapping aims to generate a technological strategy using aerial mapping employing drones (RPAS) to predict normalized vegetation index (ENDVI) in coffee crops. During the research process, reference is made to the ENDVI according to the multispectral footprints generated by the different nutrients on the plants in the production stage of the coffee crop, using RPAS for the realization of aerial mapping works in precision agriculture. This reflects the importance of implementing technological tools to improve the planning of agricultural activities, predict damage and decide in situations that affect the development of coffee crops. This study took multispectral images of coffee crops from aerial mapping in the coffee plantations of the Popayan plateau region. It will also analyze the health status of the plants using a chlorophyll meter. From this comparative analysis of the different ENDVI, it is possible to define management alternatives to improve production. However, the images will be captured with unique cameras incorporated in the RPAS, allowing the identification of the variations of the lots and coffee plants in the formative stage of their phenological development, the absorption of nutrients, and the water stress of the crop. Finally, some strategies for integrating expert systems in aerial mapping are proposed.
format Objeto de conferencia
Objeto de conferencia
author Vivas Fernández, Kevin
Muñoz Reyes, Jhon Álvaro
Ruiz Sarzosa, Saúl Eduardo
Solis Pino, Andrés Felipe
Anacona Chicangana, Amalfy
author_facet Vivas Fernández, Kevin
Muñoz Reyes, Jhon Álvaro
Ruiz Sarzosa, Saúl Eduardo
Solis Pino, Andrés Felipe
Anacona Chicangana, Amalfy
author_sort Vivas Fernández, Kevin
title Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
title_short Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
title_full Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
title_fullStr Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
title_full_unstemmed Proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
title_sort proposal of a system based on direct and indirect techniques and their correlation by chlorophyll quantification
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/158910
work_keys_str_mv AT vivasfernandezkevin proposalofasystembasedondirectandindirecttechniquesandtheircorrelationbychlorophyllquantification
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AT ruizsarzosasauleduardo proposalofasystembasedondirectandindirecttechniquesandtheircorrelationbychlorophyllquantification
AT solispinoandresfelipe proposalofasystembasedondirectandindirecttechniquesandtheircorrelationbychlorophyllquantification
AT anaconachicanganaamalfy proposalofasystembasedondirectandindirecttechniquesandtheircorrelationbychlorophyllquantification
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