The week's pick
Reseach Article
Multicriteria Spatial Decision Support System for Soil Fertility Assessment in Agriculture
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 10 |
| Year of Publication: 2021 |
| Authors: Neelam Agrawal, Kesari Verma, Tarun Kumar |
10.5120/ijca2021920975
|
Neelam Agrawal, Kesari Verma, Tarun Kumar . Multicriteria Spatial Decision Support System for Soil Fertility Assessment in Agriculture. International Journal of Computer Applications. 174, 10 ( Jan 2021), 29-34. DOI=10.5120/ijca2021920975
Abstract
The main goal of smart agriculture is balanced fertilization that is guided by the conflicting objectives of sustainability and productivity. The Geographical information system (GIS) is an effective way to manage, store, analyze, retrieve, modify, and display spatial information. However, it lacks in supporting spatial decisions through analytical approaches. The integrated approach of GIS and Multi-Criteria Decision Analysis (MCDA) models allow us to overcome such tradeoffs. This study aims to develop a web-GIS-based, Multi-Criteria Spatial Decision Support System (MCSDSS) to support fertility assessment of the farmland. The proposed framework is useful in identifying the farmland's optimum fertilizer requirements, which will ultimately increase farm profitability, productivity, and sustainability with reduced environmental pollution. To achieve the objective multiple soil attributes with varying significance and nature are evaluated using the MCDA models of Weighted Sum Model (WSM), Weighted Product Model (WPM), and Weighted Aggregated Sum Product Assessment (WASPAS). The proposed multi-criteria spatial decision support system suggests soil's fertilizer requirement into the categories of low, moderate, and high levels. The results reveal that the WPM MCDA model outperformed among all with an accuracy of 82.9%.
References
- Tilman, D., Cassman, K.G., Matson, P.A., Naylor, R. and Polasky, S. 2002. Agricultural sustainability and intensive production practices. Nature, 418(6898), pp.671-677.
- Jallah, J.K., Mulbah, C.K., Kiazolu, J.S., Frank, K. and Morris, M.Z. 1991. Efficient fertilizer use for increased crop production: The Liberia experience. In Alleviating Soil Fertility Constraints to Increased Crop Production in West Africa (pp. 155-164). Springer, Dordrecht.
- Simonne, E.H., Gazula, A., Ozores-Hampton, M., DeValerio, J. and Hochmuth, R.C. 2017. Localized application of fertilizers in vegetable crop production. In Advances in Research on Fertilization Management of Vegetable Crops (pp. 149-181). Springer, Cham.
- Fao, F.A.O.S.T.A.T. 2008. Food and agriculture organisation of the United Nations.
- Patnaik, P. 2017. Handbook of environmental analysis: chemical pollutants in air, water, soil, and solid wastes. Crc Press.
- Savci, S. 2012. Investigation of effect of chemical fertilizers on environment. Apcbee Procedia, 1, pp.287-292.
- Mir, S.A. and Quadri, S.M.K. 2009. Decision support systems: concepts, progress and issues–A review. In Climate change, intercropping, pest control and beneficial microorganisms (pp. 373-399). Springer, Dordrecht.
- Mendas, A. and Delali, A. 2012. Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria. Computers and Electronics in Agriculture, 83, pp.117-126.
- Malczewski, J. 2006. GIS‐based multi-criteria decision analysis: a survey of the literature. International journal of geographical information science, 20(7), pp.703-726.
- Lavanya, G., Rani, C. and Ganeshkumar, P. 2020. An automated low cost IoT based Fertilizer Intimation System for smart agriculture. Sustainable Computing: Informatics and Systems, 28, p.100300.
- Ashraf, A., Akram, M. and Sarwar, M. 2014. Fuzzy decision support system for fertilizer. Neural Computing and Applications, 25(6), pp.1495-1505.
- Suchithra, M.S. and Pai, M.L. 2020. Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters. Information Processing in Agriculture, 7(1), pp.72-82.
- Shinde, K., Andrei, J. and Oke, A. 2015. Web Based Recommendation System for Farmers. International Journal on Recent and Innovation Trends in Computing and Communication, 3(3), pp.41-52.
- Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A.A. and McDowell, R.W. 2019. Development of a model using matter element, AHP and GIS techniques to assess the suitability of land for agriculture. Geoderma, 352, pp.80-95.
- Gilliams, S., Raymaekers, D., Muys, B. and Van Orshoven, J. 2005. Comparing multiple criteria decision methods to extend a geographical information system on afforestation. Computers and electronics in agriculture, 49(1), pp.142-158.
- Jamil, M., Ahmed, R. and Sajjad, H. 2018. Land suitability assessment for sugarcane cultivation in Bijnor district, India using geographic information system and fuzzy analytical hierarchy process. GeoJournal, 83(3), pp.595-611.
- Silva, S., Alçada-Almeida, L. and Dias, L.C. 2014. Development of a Web-based Multi-criteria Spatial Decision Support System for the assessment of environmental sustainability of dairy farms. Computers and Electronics in Agriculture, 108, pp.46-57.
- Özkan, B., Dengiz, O. and Turan, İ.D. 2019. Site suitability assessment and mapping for rice cultivation using multi-criteria decision analysis based on fuzzy-AHP and TOPSIS approaches under semihumid ecological condition in delta plain. Paddy and Water Environment, 17(4), pp.665-676.
- Barker, A.V. and Pilbeam, D.J. eds. 2015. Handbook of plant nutrition. CRC press.
- Mardani, A., Jusoh, A., Nor, K., Khalifah, Z., Zakwan, N. and Valipour, A. 2015. Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), pp.516-571.
- Triantaphyllou, E. 2000. Multi-criteria decision making methods. In Multi-criteria decision making methods: A comparative study (pp. 5-21). Springer, Boston, MA.
- Fishburn, P.C. 1967. Letter to the editor—additive utilities with incomplete product sets: application to priorities and assignments. Operations Research, 15(3), pp.537-542.
- Triantaphyllou, E. and Mann, S.H. 1989. An examination of the effectiveness of multi-dimensional decision-making methods: a decision-making paradox. Decision Support Systems, 5(3), pp.303-312.
- Šaparauskas, J., Kazimieras Zavadskas, E. and Turskis, Z. 2011. Selection of facade's alternatives of commercial and public buildings based on multiple criteria. International Journal of Strategic Property Management, 15(2), pp.189-203.
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