Software development for spatial variability mapping in agriculture and environment

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Diverse agronomic and environmental data are collected with geographical position systems enabling the construction of maps that describe the variation of the studied properties over the space. Uni and multivariate spatial variability has been used to understand observation variation within crop fie...

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Autores principales: Paccioretti, Pablo, Córdoba, Mariano, Balzarini, Mónica
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Ciencias Agropecuarias. 2020
Materias:
software
precision agriculture
spatial data
depuration
management zone
agricultura de precisión
datos espaciales
depuración
zonas de manejo
Acceso en línea:https://revistas.unc.edu.ar/index.php/agris/article/view/27863
Aporte de:
Revistas de la UNC de Universidad Nacional de Córdoba
id I10-R10-article-27863
record_format ojs
spelling I10-R10-article-278632020-06-30T20:32:35Z Software development for spatial variability mapping in agriculture and environment Desarrollo de un software para mapeo de variabilidad espacial en agricultura y ambiente Paccioretti, Pablo Córdoba, Mariano Balzarini, Mónica software precision agriculture spatial data depuration management zone software agricultura de precisión datos espaciales depuración zonas de manejo Diverse agronomic and environmental data are collected with geographical position systems enabling the construction of maps that describe the variation of the studied properties over the space. Uni and multivariate spatial variability has been used to understand observation variation within crop fields and between sites in a large territory, allowing the delimitation of homogeneous areas at different scales. The use of spatial statistics methods, both regionally and on a small scale, demands specialized software programs. FastMapping is an interactive web application developed to process spatial data. It allows users to preprocess georeferenced data (clean, standardize and re-scale), it facilitates spatial interpolation and the generation of spatial variability maps quasi-automatically. This work compares the multivariate zoning of agricultural fields according to soil properties produced by FastMapping and that obtained from commercial software used for precision agriculture. FastMapping allows to import, clean, analyze and visualize spatial data, in a single environment, provide an easy-to-use framework for the effective implementation of spatial statistics methods. Diversos datos agronómicos y ambientales son recolectados con sistemas de posición geográfica posibilitando la construcción de mapas que describen la variación de las propiedades en el espacio. La variabilidad espacial uni y multivariada ha sido utilizada para comprender variación de observaciones dentro de campos de cultivo y también entre sitios de un territorio extenso, permitiendo la delimitación de áreas o zonas homogéneas a distintas escalas. El uso de métodos de estadística espacial, tanto a escala regional como a escala fina, demanda programas de computación especializados. FastMapping es una aplicación web interactiva que fue desarrollada para procesar datos espaciales. Permite preprocesar archivos de datos georreferenciados (depurar, estandarizar y re-escalar), facilita la interpolación espacial y la generación de mapas de variabilidad espacial de manera cuasiautomática. En este trabajo se comparó la zonificación multivariada de lotes agrícolas en función de propiedades de suelo producida por FastMapping con la obtenida desde un software comercial difundido para agricultura de precisión. Las facilidades de FastMapping para importar, limpiar, analizar y visualizar datos espaciales, en un único ambiente de computación, proveen un entorno fácil de usar para la implementación efectiva de métodos de estadística espacial. Facultad de Ciencias Agropecuarias. 2020-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/agris/article/view/27863 AgriScientia; Vol. 37 No. 1 (2020); 75-84 AgriScientia; Vol. 37 Núm. 1 (2020); 75-84 1668-298X 10.31047/1668.298x.v37.n1 spa https://revistas.unc.edu.ar/index.php/agris/article/view/27863/30036 Derechos de autor 2020 Pablo Paccioretti, Mariano Córdoba, Mónica Balzarini https://creativecommons.org/licenses/by-sa/4.0
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-10
container_title_str Revistas de la UNC
language Español
format Artículo revista
topic software
precision agriculture
spatial data
depuration
management zone
software
agricultura de precisión
datos espaciales
depuración
zonas de manejo
spellingShingle software
precision agriculture
spatial data
depuration
management zone
software
agricultura de precisión
datos espaciales
depuración
zonas de manejo
Paccioretti, Pablo
Córdoba, Mariano
Balzarini, Mónica
Software development for spatial variability mapping in agriculture and environment
topic_facet software
precision agriculture
spatial data
depuration
management zone
software
agricultura de precisión
datos espaciales
depuración
zonas de manejo
author Paccioretti, Pablo
Córdoba, Mariano
Balzarini, Mónica
author_facet Paccioretti, Pablo
Córdoba, Mariano
Balzarini, Mónica
author_sort Paccioretti, Pablo
title Software development for spatial variability mapping in agriculture and environment
title_short Software development for spatial variability mapping in agriculture and environment
title_full Software development for spatial variability mapping in agriculture and environment
title_fullStr Software development for spatial variability mapping in agriculture and environment
title_full_unstemmed Software development for spatial variability mapping in agriculture and environment
title_sort software development for spatial variability mapping in agriculture and environment
description Diverse agronomic and environmental data are collected with geographical position systems enabling the construction of maps that describe the variation of the studied properties over the space. Uni and multivariate spatial variability has been used to understand observation variation within crop fields and between sites in a large territory, allowing the delimitation of homogeneous areas at different scales. The use of spatial statistics methods, both regionally and on a small scale, demands specialized software programs. FastMapping is an interactive web application developed to process spatial data. It allows users to preprocess georeferenced data (clean, standardize and re-scale), it facilitates spatial interpolation and the generation of spatial variability maps quasi-automatically. This work compares the multivariate zoning of agricultural fields according to soil properties produced by FastMapping and that obtained from commercial software used for precision agriculture. FastMapping allows to import, clean, analyze and visualize spatial data, in a single environment, provide an easy-to-use framework for the effective implementation of spatial statistics methods.
publisher Facultad de Ciencias Agropecuarias.
publishDate 2020
url https://revistas.unc.edu.ar/index.php/agris/article/view/27863
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AT cordobamariano softwaredevelopmentforspatialvariabilitymappinginagricultureandenvironment
AT balzarinimonica softwaredevelopmentforspatialvariabilitymappinginagricultureandenvironment
AT pacciorettipablo desarrollodeunsoftwareparamapeodevariabilidadespacialenagriculturayambiente
AT cordobamariano desarrollodeunsoftwareparamapeodevariabilidadespacialenagriculturayambiente
AT balzarinimonica desarrollodeunsoftwareparamapeodevariabilidadespacialenagriculturayambiente
first_indexed 2022-08-20T01:01:44Z
last_indexed 2022-08-20T01:01:44Z
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