Abstract
For Indian farmers, the crop selection decision is a very crucial task as number of factors need to be taken into consideration. To drive out from this situation, a solution is proposed which apply analytic hierarchy process (AHP) and GIS in terms of a crop selection decision support system in Indian scenario. The framework was outlined, created and executed over a selected farm. This paper portrays the implemented systems architectural framework.
This is a preview of subscription content, log in via an institution to check access.
References
Website source at http://www.peer.eu/fileadmin/user_upload/opportunities/metier/course2/c2_updating_sessions_GIS.pdf as on date 10 May 2015
Peeters, A., Ben-Gal, A., et al.: Developing a GIS-based spatial decision support system for automated tree crop management to optimize irrigation inputs. In: iEMSs (2012)
Seppelt, R., Voinov, A.A., Lange, S., Bankamp, D. (Eds.): International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany
Website source at http://www.iemss.org/society/index.php/iemss-2012-proceedings
Pradhan, S.: Crop area estimation using GIS, remote sensing and area frame sampling. 3(1) (2001)
Nketiaa, A.K., Forkuob, E.K., Asamoaha, E., Senayaa, J.K.: A GIS based model as a decision support framework for identifying suitable rain water harvesting sites. Int. J. Adv. Technol. Eng. Res. 3(4) (2013)
Yan, X., Wang, W., Liang J.: How to design and apply a DSS based on multi-source heterogeneous data fusion (MSHDF) technology for the site selection of green food production base (GFPB). In: 2010 Second IITA International Conference on Geoscience and Remote Sensing (IITA-GRS), vol. 2, pp. 627, 633, 28–31 Aug 2010. doi:https://doi.org/10.1109/IITA-GRS.2010.5602324
Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1) (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tamsekar, P. et al. (2018). Architectural Outline of GIS-Based Decision Support System for Crop Selection. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_16
Download citation
DOI: https://doi.org/10.1007/978-981-10-5544-7_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5543-0
Online ISBN: 978-981-10-5544-7
eBook Packages: EngineeringEngineering (R0)