Abstract
Agriculture is the backbone of our country’s growth and economy. India is the second largest producer of agricultural products. However, due to lack of proper knowledge and information, it lags behind. Existing ontologies in the agricultural domain may lack information about seeds, fertilizers, pesticides, various Govt. Schemes, weather, and soil recommendations along with crop management techniques. So, there is need to convert all agriculture related data into a machine-readable form. In the proposed research work we resort to Semantic Web-based technologies to handle this problem. In particular, we focus on RDF format for publishing and linking data for information sharing so that farmers are provided relevant and contextual information timely and accurately.
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References
Indian Agriculture—Issues and Reforms with Prof. Gopal Naik [online]. http://spidi2.iimb.ernet.in/~tejas/interviews/12.php
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic web. Sci. Am. 34–43(2001)
Chandrasekaran, B., Josephson, J.R., Benjamins, R.: What are ontologies, and why do we need them? IEEE Intell. Syst. 14(1), 20–26 (1999)
Agropedia [online]: http://www.agropedia.iitk.ac.in
Agropedia: The Knowledge and Interaction hub for Indian Agriculture ICRISAT, [online]. http://vasat.icirisat.org/images/New%20Folder/Agropedia.pdf
Caracciolo, C., Stellato, A., Morshed, A., Johannsen, G., Rajbahndari, S., Jaques, Y., Keizer, J.: The agrovac linked dataset. Semantic Web 4(3), 241–248 (2013)
Knublauch, H., Fergerson R.W., Noy, N.F., Musen, M.A.: The protégé OWL plugin: an open development environment for semantic web applications. The Semantic Web-ISWC (2004)
Noy, N.F., McGuiness, D.L.: Ontology development 101: a guide to create your first ontology. Technical Report. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880 (2001)
Sinha, B., Chandra, S.: Semantic web ontology model for Indian agriculture domain (2013)
Jatwani, P., Tomar, P.: Improving Information Retrieval Effectiveness for Web Documents using Domain Ontology. In: Springer International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2016)
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Jatwani, P., Tomar, P. (2018). Design of Semantic Data Model for Agriculture Domain: An Indian Prospective. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583. Springer, Singapore. https://doi.org/10.1007/978-981-10-5687-1_44
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DOI: https://doi.org/10.1007/978-981-10-5687-1_44
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