International Journal of Plant Protection

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Review Paper on Decision Support System/Expert System Developed on Mango


Affiliations
1 National Research Centre for Integrated Pest Management, New Delhi, India
     

   Subscribe/Renew Journal


Agriculture being a primary source of income in the country is the backbone of Indian economy. And being a primary and important source of income, ICT has played an significant role in the extension services and information sharing in agriculture. To get high yield and high profit, farmers require advance or expert knowledge to take decision during soil preparation, seed selection, fertilizer management, pesticide management, water scheduling, weed management. Decision Support System are now being used into agriculture sector and are proved to be most efficient tool for interchange of knowledge and facts. This paper explains need of DSS in agriculture and review of various DSS/expert systems in agriculture. A Project on DSS on Mango for U.P. state according to various Agro-climatic zones of India has been proposed as mango is one of most important horticultural crop and has a wide distribution all over the country.

Keywords

Agriculture, Expert System, Decision Support System, Decision Maker, Mango.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Akankasha and Deep, Vikas (2014). Expert systems in agriculture: An overview. IJSTE -Internat. J. Sci. Technol. & Engg.,1(5): 45-49.

  • Babu, M. S. Prasad, Achanta, Venkatesh, Murty, N. V. Ramana and Swapna, K. (2012).Development of maize expert system using Ada Boost Algorithm and Naïve Bayesian classifier. Internat. J. Computer Appli. Technol.& Res. (IJCATR), 1 : 3.

  • Baig, Fawad, Nawaz, Naima and Saif-Ur-Rahman (2005). Expert system for decision making in agriculture sector. J. Agric. & Social Sci., 1813 : 2235/2005/1-2-208-211.

  • Camungao, R. Q., Velasco, J. D., Mesa, Q. J. B., San Jose, C.C.G. (2013). Mango production information system. Acta Hort., 509 : 69-78.DOI:10.17660/ActaHortic.2000.509.4.

  • Castro, A. J. and Garcia-Torres (1995). SEMAGI-an expert system for weed control decision making in sunflower. Crop Protection., 14 (7) : 543-548.

  • Chakraborty, Pinaki and Chakrabarti, Dilip Kumar (2008). A brief survey of computerized expert systems for crop protection being used in India. Prog. Nat. Sci.,18(4): 469-473.

  • Coughlan, J. and Huda, A. K. S. (2008). Use of weather and climate information for agricultural planning and decision making. J. Agrometeorol., 2: 249-260.

  • Dath, Ani and Balakrishnan, M. (2013). Development of an expert system for agricultural commodities. Internat. J. Computer Sci.& Appli., 2(7):75-90.

  • Devraj and Jain, Renu (2011). Puls expert: An expert system for the diagnosis and control of diseases in pulse crops. Expert Syst. Appli., 38(9):11463-11471.

  • Edrees, Soliman, A. Rafea, Ahmed, Fathy, Ibrahim and Yahia, Mohamed (2003). NEPER: A multiple strategy wheat expert system. Computers & Electro. Agric., 40: 27-43.

  • Goodell, Peter B., Plant, Richerd E., Kerby, Thomos A., Strand, Joyce F., Wilson, L. Ted, Zelinski, Lowell, Young, Julli A., Corbett, Andrew, Horrocks, R.D., Vargas, Ronold N. (1990). CALEX/ cotton: An integrated expert system for cotton production and management. California Agric., 44 : 5.

  • Hasan, S. S., Solomon, S., Baitha, A., Singh, M. R., Sah, A. K., Kumar, R. and Shukla, S. K. (2015) C. aneDES: A web-based expert system for disorder diagnosis in sugarcane. Sugar Tech., 17 (4) : 418-427.

  • Jamsandekar, P. P. and More, V. N. (2013). Agricultural extension through knowledge based expert systems. Internat. J. Res. Computer Sci.& Inform. Technol. (IJRCSIT), 1(A): 68-71.

  • Khan, Fahad Shahbaz, Razzaq, Saad, Irfan, Kashif, Maqbool, Fahad, Farid, Ahmad , Illahi, Inam and Tauqeerulamin (2008). Dr. Wheat: A web-based expert system for diagnosis of diseases and pests in Pakistani wheat. Proceedings of the World Congress on Engineering WCE.1.

  • Marwaha, Sudeep (2012).AGRIDAKSH- A tool for developing online expert system. Proceedings of AIPA .

  • Mishra,Saket, Akankasha and Deep, Vikas (2014). Expert systems in agriculture: An overview. Internat. J. Sci. Technol. & Engg., 1(5) : 45-49.

  • Negied, Nermin K. (2014). Expert system for wheat yields protection in Egypt (ESWYP). Internat. J. Innov. Technol. & Exploring Engg., (IJITEE), 3 (11) : 1-4.

  • Patel, Amish and Kadam, Puja (2016). An ample study of numerous intelligent systems used for agriculture: Review. Internat. J. Computer Appli., 143(1) : 20-24.

  • Prasad, G.N.R. and Babu, A. Vinaya (2006). A study of various expert system in agriculture. Georgian Electronic Scientific J. Computer Sci. & Telecommunicatio., 4: 11.

  • Prasad, Rajkishore and Sinha, A.K. (2002). Disease diagnosis of Indian mango: An expert system approach. Japan Sci. & Technol. J. Electro., 11(1): 65-76.

  • Prasad, Rajkishore, Kumar, Rajeev Ranjan and Sinha, A.K. (2006). Amrapalika: An expert system for the diagnosis of pests, diseases and disorder systems. Knowledge-Based Syst.,19 (1) : 9-21.

  • Rajan, S., Sahu, T.K. and Yadava, L.P. (2013). Mango resources information system: An open access portrayal of phenotypical, genetic and chemical information on mango. Acta Horti.,992 : 99-104.DOI:10.17660/ActaHortic.2013.992.11.

  • Rani, P. Mercy Nesa, Rajesh, T. and Saravanan, R. (2011). Expert systems in agriculture: A review. J. Computer Sci. & Appli., 3 : 59-71.

  • Roach, J., Vikarm, R., Weaver, M. and Drake, C. (1985). PDMME: A computer based system for apple orchard management using prolog. Expert Syst., 2 (2) : 56-69.

  • Sasmito, Ginanjar Wiro (2011). Application expert system of forward chaining and the rule based reasoning for simulation diagnose pest and disease red onion and chilli plant, Proceedings of the 1st International Conference on Information Systems for Business Competitiveness (ICISBC) 2011.

  • Tatte, Milind K. and Nichat, Mangesh K. (2013).Enhancement in agro expert system for rice crop. Internat. J. Electro. Communic. & Computer Engg., 4 (2) : 1-3.

  • Yadav, V. K., Marwaha, Sudeep , Kumar, Sangit, Kumar, P. , Kaul, Jyoti, Parihar, C.M. and Supriya, P. (2012). Maize AGRIdaksh: a farmer friendly device. Indian Res. J. Extn. Edu., 12 (3) :13-17.

  • Yelapure, Ronold N. and Kulkarni, R.V. (2012). Literature review on expert system in agriculture. Internat. J. Computer Sci. & Inform. Technologies., 3(5): 5086-5089.

  • APEDA (2011). Agri Exchange Report as on: April 2011. Prepared by: agriexchange.apeda.gov.in.http://agriexchange.apeda.gov.in/.

  • Fadzilah, Siraj and Nureize, Arbaiy (1928). Integrated pest management system using Fuzzy expert system. www.repo.uum.edu.my/1928/.

  • http://www.iasri.res.in/ebook/win_school_aa/notes/Wheat_Exp_Sys.pdf.

  • Ramil, Azizul Azar bin and Suhaimi, Nur Suhallin bt. (2008). Expert system for oil-palm disease diagnosis (Peka Sewit). www.eprints.uthm.edu.my/1833/.

  • Salunkhe, S. R. and Rai, S. K. (2014). Expert system in agriculture development. http://www.krishisewa.com.


Abstract Views: 337

PDF Views: 0




  • A Review Paper on Decision Support System/Expert System Developed on Mango

Abstract Views: 337  |  PDF Views: 0

Authors

Meenakshi Malik
National Research Centre for Integrated Pest Management, New Delhi, India
Mukesh Sehgal
National Research Centre for Integrated Pest Management, New Delhi, India
A. K. Kanojia
National Research Centre for Integrated Pest Management, New Delhi, India
R. V. Singh
National Research Centre for Integrated Pest Management, New Delhi, India

Abstract


Agriculture being a primary source of income in the country is the backbone of Indian economy. And being a primary and important source of income, ICT has played an significant role in the extension services and information sharing in agriculture. To get high yield and high profit, farmers require advance or expert knowledge to take decision during soil preparation, seed selection, fertilizer management, pesticide management, water scheduling, weed management. Decision Support System are now being used into agriculture sector and are proved to be most efficient tool for interchange of knowledge and facts. This paper explains need of DSS in agriculture and review of various DSS/expert systems in agriculture. A Project on DSS on Mango for U.P. state according to various Agro-climatic zones of India has been proposed as mango is one of most important horticultural crop and has a wide distribution all over the country.

Keywords


Agriculture, Expert System, Decision Support System, Decision Maker, Mango.

References