Analysis on the Land Suitability for Coconut Cultivation using Geographic Information System

Shirly Agcaoili

doi:10.17485/IJST/v16i20.1199

Article

Analysis on the Land Suitability for Coconut Cultivation using Geographic Information System

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i20.1199

Year: 2023, Volume: 16, Issue: 20, Pages: 1477-1486

Original Article

Analysis on the Land Suitability for Coconut Cultivation using Geographic Information System

Shirly Agcaoili^1*

¹Researcher/Faculty-Agricultural Engineering Department, College of Engineering, Cagayan State University, Sanchez Mira, 3518, Cagayan, Philippines

*Corresponding Author
Email: [email protected]

Received Date:06 June 2022, Accepted Date:26 January 2023, Published Date:19 May 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: This study developed a GIS-based approach for the spatial classification of land resources to assist planners to easily identify and increase areas for the cultivation of coconuts. Methods: The evaluation of land for its suitability application was a GIS-based multi-criteria evaluation involving guidelines on matching land quality diagnostics against crop requirements and assigning suitability rates for each land quality. Factors such as elevation, landform, soil drainage, slope, soil texture, and soil depth were used as parameters. Findings: Results showed that the existing coconut plantation is within the final suitability map developed. It revealed that around 420,000 hectares or 45.2% of the area considered in this study were found suitable locations for coconut production. Applications: Land suitability analysis for coconut cultivation using multi-criteria assessment in the GIS environment is a great tool for assessing and evaluating land in terms of its varying importance to decision-makers for sustainable agricultural production. Novelty: This study implemented spatial analysis in land evaluation that offered better land options in the study area.

Keywords: Land Suitability Analysis; Coconut Cultivation; Geographic Information System; Multiple Criteria; Spatial Analysis

References

Authority PC. Growing Zones, Productivity, and Potential to Increase Nut Supply in Coconut Farms through Practical and Efficient Farming Technologies". Paper. Agricultural R&D Branch. A Briefing Guide on the Subject: Coconut Industry Production Status. 2001. Available from: https://jenikirbyhistory.getarchive.net/amp/media/coconut-growing-zones-ef3791
Agcaoili S. Geographic Information System-Based Suitability Analysis for Potential Shallow Tube-Well Irrigation Development. Recoletos Multidisciplinary Research Journal. 2019;6(2):35–49. Available from: https://doi.org/10.32871/rmrj1806.02.04
Pilevar AR, Matinfar HR, Sohrabi A, Sarmadian F. Integrated fuzzy, AHP and GIS techniques for land suitability assessment in semi-arid regions for wheat and maize farming. Ecological Indicators. 2020;110:105887. Available from: https://doi.org/10.1016/j.ecolind.2019.105887
Riza S, Sekine M, Kanno A, Yamamoto K, Imai T, Higuchi T. Land Suitability Analysis for Agricultural Land Use using Hyperscale DEM Data. AGRIVITA Journal of Agricultural Science. 2022;44(2):187–198. Available from: http://doi.org/10.17503/agrivita.v44i2.2985
Khahro SH, Matori AN, Chandio IA, Talpur MAH. Data Preparation for GIS based Land Suitability Modelling: A Stepped Approach. E3S Web of Conferences. 2019;101:02001. Available from: https://doi.org/10.1051/e3sconf/201910102001
Arab ST, Ahamed T. Land Suitability Analysis for Potential Vineyards Extension in Afghanistan at Regional Scale Using Remote Sensing Datasets. Remote Sensing. 2022;14(18):4450. Available from: https://doi.org/10.3390/rs14184450
Mazahreh S, Bsoul M, Hamoor DA. GIS approach for assessment of land suitability for different land use alternatives in semi arid environment in Jordan: Case study (Al Gadeer Alabyad-Mafraq) Information Processing in Agriculture. 2019;6(1):91–108. Available from: https://doi.org/10.1016/j.inpa.2018.08.004
Pan G, Pan J. Research in Crop Land Suitability Analysis Based on GIS. In: L, D, C, Y., eds. Computer and Computing Technologies in Agriculture V. (Vol. 369, pp. 314-325) Springer Berlin Heidelberg. 2012.
PS, AM, MS, Khan I, Anjum S, Abid M. Gis-based multi-criteria model for cotton crop land suitability: a perspective from sindh province of pakistan. 2013. Available from: https://www.researchgate.net/publication/245032775_gis-based_multi-criteria_model_for_cotton_crop_land_suitability_a_perspective_from_sindh_province_of_pakistan
Maddahi Z, Jalalian A, Zarkesh MMK, Honarjo N. Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran. Soil and Water Research. 2017;12(1):29–38. Available from: https://doi.org/10.17221/1/2016-SWR
Chen Y, Shahbaz K, Paydar Z. Irrigation Intensification or Extensification Assessment: A GIS-Based Spatial Fuzzy Multi-Criteria Evaluation. Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. 2008. Available from: https://www.researchgate.net/publication/267682956_Irrigation_Intensification_or_Extensification_Assessment_A_GIS-Based_Spatial_Fuzzy_Multi-Criteria_Evaluation
Bydekerke L, Ranst EV, Vanmechelen L, Groenemas R. Land suitability assessment for cherimoya in southern Ecuador using expert knowledge and GIS. Agriculture, Ecosystem & Environment. 1998;69(2):90–95. Available from: https://doi.org/10.1016/S0167-8809(98)00090-5
Mustafiz RB, Noguchi R, Ahamed T. Calorie-Based Seasonal Multicrop Land Suitability Analysis Using GIS and Remote Sensing for Regional Food Nutrition Security in Bangladesh. In: New Frontiers in Regional Science: Asian Perspectives. (Vol. 2022, pp. 25-64) Springer Nature Singapore. 2022.
Khan MA, Ahmad R, Khan HH. Multi-Criteria Land Suitability Analysis for Agriculture Using AHP and Remote Sensing Data of Northern Region India. Geographic Information System [Working Title. 2022. Available from: https://cdn.intechopen.com/pdfs/80925.pdf
Amini S, Rohani A, Aghkhani MH, Abbaspour-Fard MH, Asgharipour MR. Assessment of land suitability and agricultural production sustainability using a combined approach (Fuzzy-AHP-GIS): A case study of Mazandaran province, Iran. Information Processing in Agriculture. 2020;7(3):384–402. Available from: https://doi.org/10.1016/j.inpa.2019.10.001
S, Singh RP, Bisht H, Jain R, Suna T, Bana RS, et al. Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India. Sustainability. 2022;14(9):5246. Available from: https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5246-d802974.html
Savaliya C, Savalia S, Hirpara Dk. Soil-site suitability evaluation for coconut and oil palm in the soils of Ozat River valley of southern Saurashtra region of Gujarat. International Journal of Chemical Studies. 2018;6(2):3364–3368. Available from: https://www.researchgate.net/publication/332947338_Soil-site_suitability_evaluation_for_coconut_and_oil_palm_in_the_soils_of_Ozat_River_valley_of_southern_Saurashtra_region_of_Gujarat
Cuong N. Integration of GIS and Decision Tree in Land Evaluation for Coconut Trees in Mo Cay Nam District. VNU Journal Of Science: Earth And Environmental Sciences. 2018;(1) 34. Available from: https://doi.org/10.25073/25881094/vnuees.421
Palanisamy M, Solavagounder A. Geoinformatics Based Land Suitability Classification for Coconut Cultivation in Koraiyar Watershed, Tamil Nadu. 2017. Available from: https://www.researchgate.net/publication/331715492_Geoinformatics_Based_Land_Suitability_Classification_for_Coconut_Cultivation_in_Koraiyar_Watershed_Tamil_Nadu/citation/download
Geetha GP, Dhumgond P, Shruti Y, Parama R, Sathish VR, A. Study of Land Evaluation in Giddadapalya Microwatershed, Tumkur District. Journal of Pharmacognosy and Phytochemistry. 2017;6(5):2123–2130. Available from: https://www.phytojournal.com/archives/2017.v6.i5.1953/study-of-land-evaluation-in-giddadapalya-microwatershed-tumkur-district
Chandrakala M, Srinivasan R, Prasad B, NKV, SK, Hegde R, et al. Land Suitability Evaluation for Pigeon Pea in Semi-arid Land. Communications in Soil Science and Plant Analysis. 53(6):675–687. Available from: https://doi.org/10.1080/00103624.2022.2028807
S GN, Sonam B, Munish K, S AV. Land suitability assessment for Banana and Pine Apple: A decision making approach using geo-spatial technology. Journal of Soil and Water Conservation Year. 2017;(3) 212–220. Available from: https://doi.org/10.5958/2455-7145.2017.00033.9
Chandio IA, Talpur MA, Taufique AQ. Integrated gis-based site selection of hillside development for future growth of urban areas. Mehran University Research Journal of Engineering & Technology. 2016;35(2):303–308. Available from: https://www.researchgate.net/publication/297332606_Integrated_GIS-Based_Site_Selection_of_Hillside_Development_for_Future_Growth_of_Urban_Areas
Luzon, Cagayan. Philippines Map Lat Long Coordinates. Available from: https://www.latlong.net
Baniya N. Land suitability evaluation using gis for vegetable crops in Kathmandu valley/Nepal. 2008. Available from: http://www.openthesis.org/documents/Land-suitability-evaluation-using-GIS-524359.html
A Framework for land evaluation” (Soils Bulletin No. 32). Rome: Food and Agriculture Organization of the United Nations. 1976. Available from: https://edepot.wur.nl/149437
. Guidelines: land evaluation for rainfed agriculture. FAO Soils Bulletin 52, Rome. FAO . 1984.
. Natural resources assessment for crop and land suitability: an application for selected bioenergy crops in southern Africa region, Integrated Crop Management. FAO. 2012. Available from: https://www.fao.org/publications/card/en/c/d7cc356a-cd85-5dde-a542-a9a7e42fc566
Khongnawang T, Williams M. Land suitability evaluation using GIS-based multi-criteria decision making for bio-fuel crops cultivation in KhonKaen. In: The Regent Cha Am Beach Resort. 2015.
Philippine National Standard (PNS) Code of Agricultural Practices (GAP) for coconut. 2018. Available from: https://pca.gov.ph/images/cocotech/PNS_BAFS_238_2018_Code_of_Good_Agricultural_Practices_for_Coconut.pdf
Chendes VS, Dumitru, Simota C. Analyzing the landforms - agricultural land use types relationship using a DTM-based indicator. Scientific Paper. 2009;52. Available from: http://www.researchgate.net/publication/236904948
U.S. Department of Agriculture Soil Survey Staff. Soil Survey Manual. 1951. Available from: https://www.nrcs.usda.gov/resources/guides-and-instructions/soil-survey-manual
U.S. Department of Agriculture Soil Survey Staff. Soil classification is a comprehensive system. Soil Conservation Services, U.S. Department of Agriculture. 1960. Available from: https://www.nrcs.usda.gov/sites/default/files/2022-09/The-Soil-Survey-Manual.pdf
Longwell TJ, Parks WL, Springer ME. Moisture Characteristics of Tennessee Soils. 1963. Available from: https://trace.tennessee.edu/utk_agbulletin/303
Smith DW. The effects of soil texture and soil moisture on photosynthesis, growth, and nitrogen uptake of scotch pine seedlings. Iowa State University. 1970. Available from: https://lib.dr.iastate.edu/rtd/4362
Campling P, Gobin A, Feyen J. Logistic Modeling to Spatially Predict the Probability of Soil Drainage Classes. Soil Science Society of America Journal. 2002;66(4):1390–1401. Available from: https://doi.org/10.2136/sssaj2002.1390
Wells KL. Soil drainage - effects on crop production. Soil Science news and Views. 1980;1(6). Available from: http://uknowledge.uky.edu/pss_views/152
Canja LH, Magat SS. Coconut-coffee cropping model. Coconut Intercropping guide. 2006;(6) 1–10. Available from: https://www.yumpu.com/en/document/read/46581338/coconut-coffee-robusta-excelsa-arabica-cropping-model
Mazahreh S, Bsoul M, Hamoor DA. GIS approach for assessment of land suitability for different land use alternatives in semi arid environment in Jordan: Case study (Al Gadeer Alabyad-Mafraq) Information Processing in Agriculture. 2019;6(1):91–108. Available from: https://doi.org/10.1016/j.inpa.2018.08.004
Kazemi H, Akinci H. A land use suitability model for rainfed farming by Multi-criteria Decision-making Analysis (MCDA) and Geographic Information System (GIS) Ecological Engineering. 2018;116:1–6. Available from: https://doi.org/10.1016/j.ecoleng.2018.02.021
Aymen AT, Al-Husban Y, Farhan I. Land suitability evaluation for agricultural use using GIS and remote sensing techniques: The case study of Ma’an Governorate. The Egyptian Journal of Remote Sensing and Space Science. 2021;24(1):109–117. Available from: https://doi.org/10.1016/j.ejrs.2020.01.001
Zhang J, Su Y, Wu J, Liang H. GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Computers and Electronics in Agriculture. 2015;114:202–211. Available from: https://doi.org/10.1016/j.compag.2015.04.004
Zabihi AH, Ahmad I, Vogeler MN, Said M, Golmohammadi B, Golein M, et al. Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Computers and Electronics in Agriculture. 2015;117:114–126. Available from: https://doi.org/10.1016/j.compag.2015.07.014

Copyright

© 2023 Agcaoili. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)