Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries
The soil profile and its spatial distribution are two essential aspects for promoting sustainable agriculture, with precise inputs in quantity, space, and time. This work’s objective was to elaborate a digital map of soil fertility considering the complete profile for the accurate management of amen...
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MDPI AG
2022-01-01
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Series: | Agronomy |
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Online Access: | https://www.mdpi.com/2073-4395/12/2/353 |
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author | Antonio López-Castañeda Joel Zavala-Cruz David Jesús Palma-López Joaquín Alberto Rincón-Ramírez Francisco Bautista |
author_facet | Antonio López-Castañeda Joel Zavala-Cruz David Jesús Palma-López Joaquín Alberto Rincón-Ramírez Francisco Bautista |
author_sort | Antonio López-Castañeda |
collection | DOAJ |
description | The soil profile and its spatial distribution are two essential aspects for promoting sustainable agriculture, with precise inputs in quantity, space, and time. This work’s objective was to elaborate a digital map of soil fertility considering the complete profile for the accurate management of amendments and fertilizers. For the preparation of the soil fertility map, the following inputs were used: a digital elevation model, information from 44 soil profiles, the conversion of the properties of the soil profiles into surface units, geostatistical analysis of the soil properties, and the preparation of the final map with a geographic information system. The best spatial models were achieved with CEC, pH, Ca, Mg, Na, and K. The map of the soil fertility classes was produced considering CEC and the pH value. The soil fertility classes presented the following sequence of occupied surfaces: very low, medium, very high, high, and low. A process was generated to elaborate digital maps (geostatistics) of soil fertility using taxonomic information from soil profiles and considering the complete profile. The process converts soil classification into geographic and soil fertility information from basic science to application. |
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format | Article |
id | doaj.art-5ad7d26b24124c3c96da0db6d3d937be |
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issn | 2073-4395 |
language | English |
last_indexed | 2024-03-09T22:50:18Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Agronomy |
spelling | doaj.art-5ad7d26b24124c3c96da0db6d3d937be2023-11-23T18:20:33ZengMDPI AGAgronomy2073-43952022-01-0112235310.3390/agronomy12020353Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing CountriesAntonio López-Castañeda0Joel Zavala-Cruz1David Jesús Palma-López2Joaquín Alberto Rincón-Ramírez3Francisco Bautista4Colegio de Postgraduados, Campus Tabasco, Heroica Cárdenas 86500, Tabasco, MexicoColegio de Postgraduados, Campus Tabasco, Heroica Cárdenas 86500, Tabasco, MexicoColegio de Postgraduados, Campus Tabasco, Heroica Cárdenas 86500, Tabasco, MexicoColegio de Postgraduados, Campus Tabasco, Heroica Cárdenas 86500, Tabasco, MexicoCentro de Investigación en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia 58190, Michoacán, MexicoThe soil profile and its spatial distribution are two essential aspects for promoting sustainable agriculture, with precise inputs in quantity, space, and time. This work’s objective was to elaborate a digital map of soil fertility considering the complete profile for the accurate management of amendments and fertilizers. For the preparation of the soil fertility map, the following inputs were used: a digital elevation model, information from 44 soil profiles, the conversion of the properties of the soil profiles into surface units, geostatistical analysis of the soil properties, and the preparation of the final map with a geographic information system. The best spatial models were achieved with CEC, pH, Ca, Mg, Na, and K. The map of the soil fertility classes was produced considering CEC and the pH value. The soil fertility classes presented the following sequence of occupied surfaces: very low, medium, very high, high, and low. A process was generated to elaborate digital maps (geostatistics) of soil fertility using taxonomic information from soil profiles and considering the complete profile. The process converts soil classification into geographic and soil fertility information from basic science to application.https://www.mdpi.com/2073-4395/12/2/353geostatisticssoil mappingsemivariogramspatial variability |
spellingShingle | Antonio López-Castañeda Joel Zavala-Cruz David Jesús Palma-López Joaquín Alberto Rincón-Ramírez Francisco Bautista Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries Agronomy geostatistics soil mapping semivariogram spatial variability |
title | Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries |
title_full | Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries |
title_fullStr | Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries |
title_full_unstemmed | Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries |
title_short | Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries |
title_sort | digital mapping of soil profile properties for precision agriculture in developing countries |
topic | geostatistics soil mapping semivariogram spatial variability |
url | https://www.mdpi.com/2073-4395/12/2/353 |
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