Tobacco agridaksh: an online expert system

Agridaksh- online expert system

Authors

  • H RAVISANKAR ICAR-CENTRAL TOBACCO RESEARCH INSTITUTE
  • D DAMODAR REDDY ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • U SREEDHAR ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • K SARALA ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • S KASTURI KRISHNA ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • M ANURADHA ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • L K PRASAD ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • K VISWANATHA REDDY ICAR- Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
  • SUDEEP MARWAHA ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
  • N SRINIVASA RAO ICAR-National Academy of Agricultural Research Management, Hyderabad, Andhra Pradesh, India

DOI:

https://doi.org/10.21921/jas.v10i01.12264

Keywords:

Agridaksh, Expert System, Software, Knowledge, Web

Abstract

ABSTRACT

          New advances in information technology led to the development of Expert Systems and their application in various sectors including farming. In India, agricultural production has been transformed into a multifaceted business enterprise. Indian agriculture to remain competitive needs the accumulation and integration of scientific knowledge, and information from many diverse sources.  Indian farmer often relies on agricultural specialists, advisors and agricultural research and development institutes for agricultural information for better decision making at the actual farm situation. Unfortunately, timely specialist assistance is not available when the farmer needs. Thus the situation demand for a ‘virtual expert’ who can give personalized expert advice to a large community of farmers, specific to their needs and aspirations considering various knowledge sources. The role of expert systems in tobacco sector and its applications in effective production and protection technologies have been discussed in this article. It is almost impossible for any human expert to consider every piece of available information before arriving at optimal decisions. To overcome this problem and provide precise information to the farmers, “expert systems” have been developed with a primary goal to make expertise available to clients and decision makers who need answers swiftly. The main aim is to deliver the required information and disseminate the up-to-date scientific knowledge in a readily accessible and easily understood form to the farmers. It is one of the most efficient extension tools to take the technology from scientists to the growers directly without any distortion of content which normally creeps in because of multiple agencies involved in conventional technology transfer systems. With this aim, ICAR-Central Tobacco Research Institute has developed a web-based expert system on tobacco using “Agridaksh”- an online tool developed by ICAR-Indian Agricultural Statistics Research Institute. This, online expert systems has the tremendous capacity to transfer location specific technologies and advice to the farmers with a greater precision.

Author Biographies

SUDEEP MARWAHA, ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India

Principal Scientist 

N SRINIVASA RAO, ICAR-National Academy of Agricultural Research Management, Hyderabad, Andhra Pradesh, India

Principal Scientist 

References

Ani Dath and Balakrishnan M. 2016. Expert system on coconut disease management and variety selection. Int. Journal of Advanced Research in Computer and Communication Engg. 5(4): 242-246.

Donald A W. 2004. A guide to Expert Systems, Perason Education.

Durkin J. 1994. Expert System: Design and Development, Prentice Hall, New York, NY.

Edwards G, Compton P, Malor R, Srinivasan A and Lazarus L. 1993. PEIRS: a pathologist maintained expert system for the interpretation of chemical pathology reports. Pathology 25:27-34.

Gerevini A, Perini A, Ricci F, Forti D, Ioratti C and Mattedi I. 1992. POMI: An Expert System for Integrated Pest Management of Apple Orchards. AI Applications 6(3): 51-62

Gillard P. 1998. PCAI magazine. Expert System used to disseminate Complex Information in Agriculture and Horticulture. Knowledge Technology Inc.

Islam S, Kundu S, Shoran J, Sabir N, Sharma K, Farooqi S, Singh R, Agarwal HM, Chaturvedi KK, Sharma RK and Sharma AK. 2012. Selection of wheat (Triticum aestivum) variety through expert system. Indian Journal of Agricultural Sciences 82(1): 39-43.

Jackson P. 1999. Introduction to Expert Systems, Harlow, England: Addison Wesley Longman. Third Edition

Jones E and Roydhouse A. 1995. Intelligent Retrieval of Archived Meteorological Data. IEEE Expert 10(6):50-58

Marwaha S, Kumar V and Babal R. 2002. Web Enable Expert System of Extension: A need of Time in Agriculture for Developing Countries. Proceedings of the International Agronomy Conference, IARI, New Delhi.

Marwaha S. 2012. Agridaksh - A Tool for Developing Online Expert System. Proceedings of Agro-Informatics and Precision Agriculture. P: 17-23.

Nathan M R and James C. H. 1997. TECHMET: An expert system for teaching weather

Forecasting. Journal of Atmospheric and oceanic technology 5(2):368-374.

Noy NF, Sintek M, Decker S, Crub´ezy M, Fergerson RW and Musen MA. 2001. Creating Semantic Web contents with Protégé-2000. IEEE Intelligent Systems 16(2): 60-71.

Patterson DW. 2004. Introduction to Artificial Intelligence and Expert Systems. Prentice-Hall, New Delhi.

Prasad Babu MS, Ramana Murty NV and Narayana SVNL. 2010. A web-based tomato crop expert information system based on artificial intelligence and machine learning algorithms. International Journal of Computer Science and Information Technologies 1(1): 6-15.

Prasad GNR and Vinaya Babu A. 2006. A Study on Various Expert Systems in Agriculture. Georgian Electronic Scientific Journal: Computer Science and Telecommunications 4(11). 81-86.

Ravisankar H, Siva Raju K, Krishnamurthy, V and Raju, CA. 2010. Expert system for identification and management of abiotic stresses in Tobacco. Indian Journal of Agricultural Sciences 80:151-154.

Ravisankar H, Anuradha M, Chandrasekhararao C, Nageswara rao K and Krishnamurthy V. 2009. Expert System for the diagnosis of nutrient deficiencies in flue-cured tobacco. Indian Journal of Agricultural Sciences 79(1): 45-49.

Ravisankar H, Sreedhar U and Sivaraju K. 2014a. Expert system for insect pests of agricultural crops. Indian Journal of Agricultural Sciences 84(5):607-11.

Ravisankar H, Gunneswara Rao S and Sreedhar U. 2014b. Expert system for identification of natural enemies of tobacco pests. Indian Journal of Plant Protection 42 (4): 312-316.

Richard P E and Nicholas S D. 1991. Knowledge based systems in Agriculture, McGraw-Hill.

Smith MK, Welty C and McGuinness DL. 2004. OWL Web Ontology Language Guide. W3C Note, http://www.w3.org/TR/owl-guide.

Srinivasa Rao N, Geetha KA and Maiti S. 2015. DHMAPI: A knowledge-based system for identification of medicinal and aromatic plants. Int. Journal of Applied Research on Information Technology and Computing 6(3):177-188.

Srinivasa Rao N, Geetha KA and Maiti S. 2014. Web-based networking of herbal gardens for exchange of planting material. Computers and Electronics in Agriculture. 103:26–32.

Wang HJ and Lu X. 2008. Cotton Fertilization Expert System Using GIS Technology in Xinjiang Region. Xing Jiang Agricultural Sciences 45: 51–56

Weis S M and Kulikowasaki C A. 1984. A practical guide to designing expert system, Rowman and Allan held NJ, USA.

Wharton PS, Kirk WW, Baker KM and Duynslager L. 2008. A web-based interactive system for risk management of potato late blight in Michigan. Computers and Electronics in Agriculture 61(2): 136-148.

Yadav VK, Sudeep Marwaha, Sangit Kumar, Kumar P, Jyoti Kaul, Parihar CM and Supriya P. 2012. Maize AGRIdaksh: A Farmer Friendly Device. Indian Res. J. Ext. Edu 12(3): 13-17.

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Published

2023-03-30