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A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines
Agricultural machinery distribution programs are key components of the Philippine government to strengthen its economic productivity. However, concerns were reported that some of the distributed machines were under-utilized or unutilized in their respective farms. This study is focused on the develo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600186/ https://www.ncbi.nlm.nih.gov/pubmed/37880263 http://dx.doi.org/10.1038/s41598-023-45071-w |
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author | Amongo, Rossana Marie Saludes, Ronaldo Gallegos, Ralph Kristoffer Relativo, Patrick Lemuel Duminding, Ria Salustia Pantano, Adrian Daniel Cunan, Julius John Paul Lalap-Borja, Gherlee Nelle |
author_facet | Amongo, Rossana Marie Saludes, Ronaldo Gallegos, Ralph Kristoffer Relativo, Patrick Lemuel Duminding, Ria Salustia Pantano, Adrian Daniel Cunan, Julius John Paul Lalap-Borja, Gherlee Nelle |
author_sort | Amongo, Rossana Marie |
collection | PubMed |
description | Agricultural machinery distribution programs are key components of the Philippine government to strengthen its economic productivity. However, concerns were reported that some of the distributed machines were under-utilized or unutilized in their respective farms. This study is focused on the development of a GIS-based model of determining suitable lowland rice areas for two-wheel and four-wheel tractors. A numerical rating system was designed that assigns a suitability score from three criteria, namely slope, road network proximity, and flood risk, based on established scales. Analytical Hierarchy Process was used as an approach to determine the relative influence in which results show that slope has the greatest weight (65%) followed by flood risk and road network proximity with 20% and 15%, respectively. The total suitability score (TSS) is then determined by getting the weighted average of the individual suitability scores. Land suitability mapping on the study area, the CALABARZON region, show that majority of the lowland rice areas are highly suitable for two-wheel and four-wheel tractors (81.39%) while some areas fall under marginal (15.03%) and moderate suitability (3.58%). Geotagged locations of the distributed agricultural tractors from 2015 to 2020 reveal that 78% of the distributed two-wheel tractors and 80% of four-wheel tractors in the region are situated in highly suitable areas. The GIS-based suitability model generated in this study can be utilized by the government to improve its machine distribution programs of two-wheel and four-wheel tractors in lowland rice farms. |
format | Online Article Text |
id | pubmed-10600186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106001862023-10-27 A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines Amongo, Rossana Marie Saludes, Ronaldo Gallegos, Ralph Kristoffer Relativo, Patrick Lemuel Duminding, Ria Salustia Pantano, Adrian Daniel Cunan, Julius John Paul Lalap-Borja, Gherlee Nelle Sci Rep Article Agricultural machinery distribution programs are key components of the Philippine government to strengthen its economic productivity. However, concerns were reported that some of the distributed machines were under-utilized or unutilized in their respective farms. This study is focused on the development of a GIS-based model of determining suitable lowland rice areas for two-wheel and four-wheel tractors. A numerical rating system was designed that assigns a suitability score from three criteria, namely slope, road network proximity, and flood risk, based on established scales. Analytical Hierarchy Process was used as an approach to determine the relative influence in which results show that slope has the greatest weight (65%) followed by flood risk and road network proximity with 20% and 15%, respectively. The total suitability score (TSS) is then determined by getting the weighted average of the individual suitability scores. Land suitability mapping on the study area, the CALABARZON region, show that majority of the lowland rice areas are highly suitable for two-wheel and four-wheel tractors (81.39%) while some areas fall under marginal (15.03%) and moderate suitability (3.58%). Geotagged locations of the distributed agricultural tractors from 2015 to 2020 reveal that 78% of the distributed two-wheel tractors and 80% of four-wheel tractors in the region are situated in highly suitable areas. The GIS-based suitability model generated in this study can be utilized by the government to improve its machine distribution programs of two-wheel and four-wheel tractors in lowland rice farms. Nature Publishing Group UK 2023-10-25 /pmc/articles/PMC10600186/ /pubmed/37880263 http://dx.doi.org/10.1038/s41598-023-45071-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Amongo, Rossana Marie Saludes, Ronaldo Gallegos, Ralph Kristoffer Relativo, Patrick Lemuel Duminding, Ria Salustia Pantano, Adrian Daniel Cunan, Julius John Paul Lalap-Borja, Gherlee Nelle A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines |
title | A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines |
title_full | A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines |
title_fullStr | A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines |
title_full_unstemmed | A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines |
title_short | A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines |
title_sort | gis-based land suitability model for agricultural tractors in calabarzon region, philippines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600186/ https://www.ncbi.nlm.nih.gov/pubmed/37880263 http://dx.doi.org/10.1038/s41598-023-45071-w |
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