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Land Suitability Analysis for Agricultural Land Use using Hyperscale DEM Data

AGRIVITA, Journal of Agricultural Science · Vol. 44 No. 2 (2022) · hlm. 187–198

DOI
10.17503/agrivita.v44i2.2985
ISSN
2477-8516, 0126-0537
Terbit
2022-03-01
Penerbit
Faculty of Agriculture University of Brawijaya in collaboration with PERAGI
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Cropland suitability analysis is a crucial process for achieving the optimum utilization of land use. It is frequently used today and continues to develop, especially in the methods. Digital soil mapping is a new technique that can generate spatial predictions of soil attributes obtained from digital soil covariates, reducing the cost, time, and land-use suitability evaluation accuracy. This study aims to determine the land suitability for agriculture commodities based on a hyperscale soil texture predictive model and compare it with the conventional land-use suitability evaluation based on determining soil texture. The target agricultural commodities in this study are leafy vegetables, carrots, apples, and coffee. This study finds that the Hyperscale Soil Texture estimation model can be used as a parameter for land suitability assessment for agricultural commodities. The prediction obtained by this model is not significantly different from that obtained by the traditional approach. This research discovers that the two procedures produced similar outcomes. The hyperscale approach can be an alternative method for land suitability estimation and reduce the time and cost compared to traditional techniques.

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26 penulis · 73 tautan kepenulisan bersama · 41 lintas organisasi

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  • Universitas Islam Malang
  • University of Brawijaya
  • Yamaguchi University
  • Udayana University
  • The University of Tokyo
  • Sebelas Maret University
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  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Novi ArfaritaUniversitas Islam Malang9
Masita Dwi Mandini ManessaUdayana University5
Muhammad HaidarThe University of Tokyo5
Evi KurniatiUniversity of Brawijaya3
Budi PrasetyaUniversity of Brawijaya2
Cahyo PrayogoUniversity of Brawijaya2
Henny PramoedyoUniversity of Brawijaya1
Atiek IrianyUniversity of Brawijaya1
Wigbertus NgabuUniversity of Brawijaya1
Djuhari DjuhariUniversitas Islam Malang1
N HidayatiUniversitas Islam Malang1
Masyhuri MachfudzUniversitas Islam Malang1
Anis Kholifatur RosyidahAfiliasi tidak diketahui1
Mahayu Woro LestariUniversitas Islam Malang1
Indiyah MurwaniUniversitas Islam Malang1
Anton MuhibuddinUniversity of Brawijaya1
Mohammad Jasa AfroniUniversitas Islam Malang1
Soni SugiartoUniversitas Islam Malang1
Masyhuri MasyhuriUniversitas Islam Malang1
Sugiarto SugiartoSebelas Maret University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://agrivita.ub.ac.id/index.php/agrivita/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Land Suitability Analysis for Agricultural Land Use using Hyperscale DEM Data</dc:title>
	<dc:creator>Riza, Sativandi</dc:creator>
	<dc:creator>Sekine, Masahiko</dc:creator>
	<dc:creator>Kanno, Ariyo</dc:creator>
	<dc:creator>Yamamoto, Koichi</dc:creator>
	<dc:creator>Imai, Tsuyoshi</dc:creator>
	<dc:creator>Higuchi, Takaya</dc:creator>
	<dc:subject xml:lang="en-US">soil-plant sciences</dc:subject>
	<dc:subject xml:lang="en-US">Digital Soil Mapping; Hyperscale Modeling; Land Suitability; Land-Use; Soil Texture</dc:subject>
	<dc:description xml:lang="en-US">Cropland suitability analysis is a crucial process for achieving the optimum utilization of land use. It is frequently used today and continues to develop, especially in the methods. Digital soil mapping is a new technique that can generate spatial predictions of soil attributes obtained from digital soil covariates, reducing the cost, time, and land-use suitability evaluation accuracy. This study aims to determine the land suitability for agriculture commodities based on a hyperscale soil texture predictive model and compare it with the conventional land-use suitability evaluation based on determining soil texture. The target agricultural commodities in this study are leafy vegetables, carrots, apples, and coffee. This study finds that the Hyperscale Soil Texture estimation model can be used as a parameter for land suitability assessment for agricultural commodities. The prediction obtained by this model is not significantly different from that obtained by the traditional approach. This research discovers that the two procedures produced similar outcomes. The hyperscale approach can be an alternative method for land suitability estimation and reduce the time and cost compared to traditional techniques.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Agriculture University of Brawijaya in collaboration with PERAGI</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2022-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://agrivita.ub.ac.id/index.php/agrivita/article/view/2985</dc:identifier>
	<dc:identifier>10.17503/agrivita.v44i2.2985</dc:identifier>
	<dc:source xml:lang="en-US">AGRIVITA Journal of Agricultural Science; Vol 44, No 2 (2022); 187-198</dc:source>
	<dc:source>2477-8516</dc:source>
	<dc:source>0126-0537</dc:source>
	<dc:source>10.17503/agrivita.v44i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/view/2985/1479</dc:relation>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2985/2504</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 The Author(s)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>