Call for Paper - September 2020 Edition
IJCA solicits original research papers for the September 2020 Edition. Last date of manuscript submission is August 20, 2020. Read More

Ontology-based Advisory System for Cotton Crop Farmers

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
S. Narayana
10.5120/ijca2017913967

S Narayana. Ontology-based Advisory System for Cotton Crop Farmers. International Journal of Computer Applications 167(7):1-7, June 2017. BibTeX

@article{10.5120/ijca2017913967,
	author = {S. Narayana},
	title = {Ontology-based Advisory System for Cotton Crop Farmers},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {7},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {1-7},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume167/number7/27780-2017913967},
	doi = {10.5120/ijca2017913967},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Different parts of the country have recently witnessed a large number of suicide deaths by the farmers who found themselves in extreme distress. A variety of factors are held as responsible for the farmers’ suicides which includes a) adverse seasonal conditions, b) lack of irrigation facilities, c) massive pest attack, d) wrong agricultural practices and failure of extension services: excessive use of pesticides, mono-cropping, wrong selection of seeds, dependency on private dealers for technical advice, e) spurious pesticides and seeds, f) increase in the cost of cultivation, and d) low yields and adverse prices. To address some of these problems, this work proposes the development of an expert system (Agro-Advisory System) which provides valuable answers to farmer queries. Agro-Advisory System is an ontology based knowledge system that provides query-answering support for farmers. Farmers encounter many questions on cropping depending on climate, diseases on crops, pests, preventions, timelines of various activities etc. To handle these queries, the old procedure was to collect the questions from farmers and record these questions, then search for the answers to these questions manually from documents provided by agricultural experts. Sometimes lack of experts and their expertise creates problem, so we choose expert system approach to solve this problem.

References

  1. James, C (2008) Global status of commercialized biotech/GM crops: 2008, ISAAA Brief No. 39, ISAAA, Ithaca, NY
  2. ICAR (2006) Handbook of Agriculture. Published by ICAR, New Delhi. pp 1018-1036.
  3. V. Kumar, V. Dave, R. Bhadauriya and S. Chaudhary, “Krishimantra: Agricultural Recommendation System”, in proceedings of the 3rd ACM Symposium on Computing for Development, Article No. 5, ISBN: 9781450318563, DOI:O.1145/2442882.2442933, 2013.
  4. Knowledge model for cotton, by : Neha Arora, Sonali Sahni ,Technical report, IIT Bombay, 2011.
  5. Approved Package of Practices for Cotton: Punjab State, Cotton Database, Available: http://www.cicr.org.in http://www.kapasindia.com, http://www.ikisan.com.
  6. G. Bhalotia, C. Nakhey, A. Hulgeri, S. Chakrabarti, and S. Sudarshanz. Keyword Searching and Browsing in Databases using BANKS. Proceedings of International Conference on Data Engineering, 2002.
  7. Margherita Sini (FAO), Vimlesh Yadav (IITK), Contributors: Claudio Baldassarre (FAO),Revisers: Jeetendra Singh (IITK), TV Prabhakar (IITK),―Building Knowledge Models for Agropedia Indica v 1.0, Requirements, Guidelines, Suggestions.
  8. Amit Tripathi,Vimlesh Kumar Yadav and T.V. Prabhakar, IIT-Kanpur―Agropedia-An ICT TOOL FOR EXTENSION SERVICES IN INDIAN AGRICULTURE, Available: http://agropedia.iitk.ac.in/
  9. Vo Thi Ngoc Chau.Agroadvisory system, 2010.
  10. Aree Thunkijjanukij, ―Ontology Development for Agricultural Research Knowledge Management:A Case Study for Thai Rice.
  11. Gruber, T. 1993. A translation approach to portable ontology specifications. Knowledge Acquisition l5(2): 199-120.
  12. Owl web ontology language reference. http://www.w3.org/TR/owl-ref/.
  13. Protégé Tutorial, available: http://www.coode.org/resources/tutorials/ProtegeOWLTutorial-p4.0.pdf
  14. Natalya F. Noy and Deborah L. McGuinness, ―Ontology Development 101: A Guide for Creating Your First Ontology.
  15. Toby Segaran, Colin Evans, and Jamie Taylor, ―Programming the Semantic Web
  16. Oreilly Publications, ―Practical RDF
  17. Sergiy Nikitin, Vagan Terziyan, Yaroslav Tsaruk, Andriy Zharko, ―Querying Dynamic and Context-Sensitive Metadata in Semantic Web.

Keywords

Ontology, Cotton crop, Cotton ontology, RDF, Knowledge-based system.