Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE
Pitahaya (<i>Hylocereus megalanthus</i>), commonly known as dragon fruit, is grown in tropical areas and has a promising future in the world market. At present, it is a crop developed by small-scale farmers. However, finding optimal areas for installing this crop is a major challenge. In...
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MDPI AG
2025-02-01
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| author | Katerin M. Tuesta-Trauco Rolando Salas López Elgar Barboza Jhon A. Zabaleta-Santisteban Angel J. Medina-Medina Abner S. Rivera-Fernandez José A. Sánchez-Vega Nerci M. Noriega-Salazar Manuel Oliva-Cruz Aqil Tariq Jhonsy O. Silva-López |
| author_facet | Katerin M. Tuesta-Trauco Rolando Salas López Elgar Barboza Jhon A. Zabaleta-Santisteban Angel J. Medina-Medina Abner S. Rivera-Fernandez José A. Sánchez-Vega Nerci M. Noriega-Salazar Manuel Oliva-Cruz Aqil Tariq Jhonsy O. Silva-López |
| author_sort | Katerin M. Tuesta-Trauco |
| collection | DOAJ |
| description | Pitahaya (<i>Hylocereus megalanthus</i>), commonly known as dragon fruit, is grown in tropical areas and has a promising future in the world market. At present, it is a crop developed by small-scale farmers. However, finding optimal areas for installing this crop is a major challenge. In this study, we evaluated the suitability of land for pitahaya cultivation in the department of Amazonas using integrated multi-criteria techniques such as geographic information systems (GISs) and remote sensing (RS). The analytic hierarchy process (AHP) method was used to select and rank the suitability criteria. The fuzzy-AHP (F-AHP) method was then applied to perform pairwise comparisons and determine the linguistic scaling of the requirements, and, using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), the requirements with the highest preference for land suitability were selected. The results reported that for pitahaya cultivation, the most important criterion was mean annual temperature (20.70%), followed by soil organic matter (11.8%), mean annual rainfall (9.50%), and proximity to roads (9.0%). The final suitability map indicated that 0.006% (2.39 km<sup>2</sup>) was very suitable, 4.60% (1661.97 km<sup>2</sup>) moderately suitable, 0.10% (34.65 km<sup>2</sup>) marginally suitable, and 95.30% (34,459.31 km<sup>2</sup>) of the study area was not suitable. |
| format | Article |
| id | doaj-art-0e802d5e671145ddae263ee5e974bdf0 |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-0e802d5e671145ddae263ee5e974bdf02025-08-20T02:44:35ZengMDPI AGRemote Sensing2072-42922025-02-0117463710.3390/rs17040637Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEEKaterin M. Tuesta-Trauco0Rolando Salas López1Elgar Barboza2Jhon A. Zabaleta-Santisteban3Angel J. Medina-Medina4Abner S. Rivera-Fernandez5José A. Sánchez-Vega6Nerci M. Noriega-Salazar7Manuel Oliva-Cruz8Aqil Tariq9Jhonsy O. Silva-López10Centro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruCentro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, PeruDepartment of Wildlife, Fisheries and Aquaculture, College of Forest Resources, Mississippi State University, Starkville, MS 39762-9690, USAÁrea de Cartografía y Teledetección, Laboratorio de Agrostología, Instituto de Investigación en Ganadería y Biotecnología, Facultad de Ingeniería Zootecnista, Agronegocios y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruPitahaya (<i>Hylocereus megalanthus</i>), commonly known as dragon fruit, is grown in tropical areas and has a promising future in the world market. At present, it is a crop developed by small-scale farmers. However, finding optimal areas for installing this crop is a major challenge. In this study, we evaluated the suitability of land for pitahaya cultivation in the department of Amazonas using integrated multi-criteria techniques such as geographic information systems (GISs) and remote sensing (RS). The analytic hierarchy process (AHP) method was used to select and rank the suitability criteria. The fuzzy-AHP (F-AHP) method was then applied to perform pairwise comparisons and determine the linguistic scaling of the requirements, and, using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), the requirements with the highest preference for land suitability were selected. The results reported that for pitahaya cultivation, the most important criterion was mean annual temperature (20.70%), followed by soil organic matter (11.8%), mean annual rainfall (9.50%), and proximity to roads (9.0%). The final suitability map indicated that 0.006% (2.39 km<sup>2</sup>) was very suitable, 4.60% (1661.97 km<sup>2</sup>) moderately suitable, 0.10% (34.65 km<sup>2</sup>) marginally suitable, and 95.30% (34,459.31 km<sup>2</sup>) of the study area was not suitable.https://www.mdpi.com/2072-4292/17/4/637agrozoningtropical cropsmulticriteria evaluationcrop planning |
| spellingShingle | Katerin M. Tuesta-Trauco Rolando Salas López Elgar Barboza Jhon A. Zabaleta-Santisteban Angel J. Medina-Medina Abner S. Rivera-Fernandez José A. Sánchez-Vega Nerci M. Noriega-Salazar Manuel Oliva-Cruz Aqil Tariq Jhonsy O. Silva-López Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE Remote Sensing agrozoning tropical crops multicriteria evaluation crop planning |
| title | Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE |
| title_full | Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE |
| title_fullStr | Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE |
| title_full_unstemmed | Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE |
| title_short | Land Suitability for Pitahaya (<i>Hylocereus megalanthus</i>) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE |
| title_sort | land suitability for pitahaya i hylocereus megalanthus i cultivation in amazonas peru integrated use of gis rs f ahp and promethee |
| topic | agrozoning tropical crops multicriteria evaluation crop planning |
| url | https://www.mdpi.com/2072-4292/17/4/637 |
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