Indian Journal of Automation and Artificial Intelligence

Open Access Open Access  Restricted Access Subscription Access

Expert System for Agriculture Extension


Affiliations
1 NIRJAFT (ICAR), 12 Regent Park, Kolkata - 700040, India
 

This paper is meant to provide required information and expert advice to the farmers and extension workers according to their needs&available resources. For an example, on the basis of symptoms supplied by the farmer, diseases affecting the crop can be detected and those practices that should be adopted according to the geographical locations or climate for a better yield. Thus, the work is to categorize agriculture in sub-areas & collect relevant information for these areas and feed into database. Second to make decision rules to process the information. Finally to design & develop the web based expert system for extension people. This expert system is expected to provide required information to the farmers and extension workers to take decisions in the agricultural enterprise.

Keywords

Agricluture Extension, Information, ICT
User
Notifications

  • Agrawal et. At, Mining association between sets of items in large databases, Proc. Of ACM SIGMOD, Int. Conf. On Management of data, Washington DC, 1993

  • Abdullah, A., Brobst, S., M.Umer M. (2004). “The case for an agri data ware house: Enabling analytical exploration of integrated agricultural data”. Proc. of IASTED International Conference on Databases and Applications. Austria.

  • Cunningham S.J., G. Holmes. (2005). “Developing innovative applications in agriculture using data mining”. Proc. Of 3rd International Symposium on Intelligent Information Technology in Agriculture. Beijing, China.

  • Inmon, B (2005). Building the data Warehouse Fourth edition, john Wiley, New York.

  • Osmar R.Zaiane (1999). CMPUT690 principles of Knowledge discovery in Data bases, department of computer science, University of Alberta.

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

  • Jones, E., Roydhouse, A. (1995). Intelligent Retrieval of Archived Meteorological Data, IEEE Expert, 10(6): 50-57.

  • Kamel, A., Schroeder, K., Sticklen, J., Rafea,A., Salah,A., Schulthess,U., Ward, R. and Ritchie, J. (1994). Integrated Wheat Crop Management System Based on Generic Task Knowledge Based Systems and CERES Numerical Simulation. AI Applications 9(1):17- 27.

  • Lemmon, H. (1986). COMAX: An expert system for cotton crop management. Science 233:29-33.

  • McQueen, R., Garner,S., Manning, C., Witten, I. (1995). Applying machine learning to agricultural data. Computers and electronics in agriculture 12(4): 275-293

  • Michalski, R., Davis, J., Visht, V. and Sinclair, J. (1983). A computer-based advisory system for diagnosing soybean diseases in Illinois. Plant Disease 67:459-463.

  • Mohan, S., Arumugam, N. (1995). An intelligent front-end for selecting evapotranspiration estimation methods. Computers and electronics in agriculture 12(4): 295-309.


Abstract Views: 695

PDF Views: 689




  • Expert System for Agriculture Extension

Abstract Views: 695  |  PDF Views: 689

Authors

Sujai Das
NIRJAFT (ICAR), 12 Regent Park, Kolkata - 700040, India
Laxmikanta Nayak
NIRJAFT (ICAR), 12 Regent Park, Kolkata - 700040, India

Abstract


This paper is meant to provide required information and expert advice to the farmers and extension workers according to their needs&available resources. For an example, on the basis of symptoms supplied by the farmer, diseases affecting the crop can be detected and those practices that should be adopted according to the geographical locations or climate for a better yield. Thus, the work is to categorize agriculture in sub-areas & collect relevant information for these areas and feed into database. Second to make decision rules to process the information. Finally to design & develop the web based expert system for extension people. This expert system is expected to provide required information to the farmers and extension workers to take decisions in the agricultural enterprise.

Keywords


Agricluture Extension, Information, ICT

References