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

A Decision Support System for Identification of Pests/Disease of Mango for U.P.


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

   Subscribe/Renew Journal


Mango described as the “king of fruits”, known for its delicious taste, high nutritive value, strong aroma is a prominent horticultural crop of India. The crop grown in diverse agro-climatic conditions face differential biotic and abiotic stress limiting the production and productivity of mango. Climate change is expected to provoke the changes in diversification and abundance of arthropods, geographical and temporal distribution of insect biotypes, insect pests, herbivore plant interactions, activity and abundance of natural enemies, species extinction and efficacy of crop protection technologies which in turn will have a major bearing on food and nutritional security. Severity of mango pests is influenced both by crop growth and prevailing weather. Developing a DSS for U.P. state based on the Agro-climatic zones is an initiative that can address the above issues to some extent and facilitate sustainable mango production. The state is being covered by 9 Agro-climatic Zones. Development of databases, information systems, expert system, Decision Support System has already taken place in Indian Council of Agriculture and Research but development of Decision Support System for mango according to different Agro-climatic zones of India is not yet available. To facilitate this communication it is necessary to have a DSS of the important crop for different zones.

Keywords

Mango, Agro-Climatic Zones, Decision Support System, Insects/Pests.
Subscription Login to verify subscription
User
Notifications
Font Size


  • 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.
  • Castro, A.J. and Garcia-Torres (1995). SEMAGI-an expert system for weed control decision making in sunflower. Crop Protection, 14 (7) : 543-548.
  • Chakrabarti, D. K. and Chakraborty, P. (2006).Expert system for management of malformation disease of mango. ICAR News, 12 (1) : 18.
  • Chakrabarti, D. K. and Chakraborty, P. (2007). A disease specific expert system for the Indian mango crop. J. Agric. Edu. & Extn.,13 (1): 81.
  • Chakraborty, Pinaki and Chakrabarti, D.K. (2008).A brief survey of computerized expert systems for crop protection being used In India. Prog. Nat. Sci.,18(4): 469.
  • Chen, J.P., Tai, C.Y. and Chen, B.H. (2004). Improved liquid chromatographic method for determination of carotenoids in Taiwanese mango (Mangifera Indica L.) J. Chromatogr. A. ,1054 : 261-268.
  • Dath, Ani and Balakrishnan, M. (2013). Development of an expert system for agricultural commodities. Internat. J. Computer Sci. & Appli. 2(7): 75.
  • Ghosal, S., Chakrabarti, D. K., Biswas, D.K. and Kumar, Y. (1979). Toxic substances produced by Fusarium. X. concerning the malformation disease of mango. Experientia, 35 : 1633-1634.
  • 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, M. N., Nizami, S. S., Khan, M. A. and Ahmed, Z. (1993). New saponins from Mangifera. Indica. J. Nat. Prod., 56 : 767-770 .
  • Kumar, R. and Chakrabarti, D. K. (1997). Assessment of loss in yield of mango (Mangifera indica) caused by mango malformation. Indian J. Agric. Sci., 67 (3) : 130-131.
  • Mishra, Saket, Akankasha and Deep, Vikas (2014). Expert systems in agriculture: An overview. Internat. J.Sci. Technol. & Engg., 1(5): 45.
  • Muruganandan, S., Gupta, S., Kataria, M., Lal, J. and Gupta, P. K. (2002). Mangiferin protects the streptozotocin-induced oxidative damage to cardiac and renal tissues in rats. Toxicology, 176 : 165-173.
  • Nunez, A. J., Vélez Castro, H. T., Agüero-Agüero, J., Gonzalez-Gonzalez, J., Naddeo, F. and De Simone, F. (2002). Isolation and quantitative analysis of phenolic antioxidants, free sugars, and polyols from mango (Mangifera indica L.) stem bark aqueous decoction used in cuba as a nutritional supplement. J. Agric. Food. Chem.,50 : 762-766.
  • Prasad, G. N. R. and Babu, A.V. (2006). A study on various expert systems in agriculture. Georgian Electro. Scient. J. Computer Sci. & Telecommunications, 5(4): 81.
  • Prasad, Rajkishore and Sinha, A.K. (2002).Disease diagnosis of Indian mango: An expert system approach. Japan Sci. & Technol. J. Electro.,11(1): 65.
  • Prasad, Rajkishore, Ranjan, Kumar Rajeev and Sinha, A. K. (2006). Amrapalika: An expert system for the diagnosis of pests, Diseases & Disorder Syst., 19(1): 9.
  • 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 Hort. (ISHS), 992: 99.
  • Shafinah, Kamarudin, Sahari, Noraidah, Sulaiman, Riza, Soyapi, Mohd.,Yusoff, Mohd. and Ikram, Mohammad Mohd. (2013). A framework of an expert system for crop pest & disease management. J.Theoretical & Appl. Inform. Technol., 58(1): 182.
  • Shankarnarayanan, D. ,Gopalakrishman, C., Kameswaran, L. and Arumugum, S. (1979). The effect of mangostin, mangostin-3, 6-di-O-glucoside and mangiferin in carbon tetrachloride liver injury. Mediscope., 22 : 65.
  • Stoilova, I., Gargova, S. and Stoyanova, A. (2005). Antimicrobial and antioxidant activity of the polyphenol mangiferin. Herb Polonica., 51: 37-44.
  • Yelapure, S. J. and Kulkarni, R. V. (2012). Literature review on expert system in agriculture. Internat. J. Computer Sci. & Inform. Technol., 3 (5): 5086.

Abstract Views: 287

PDF Views: 0




  • A Decision Support System for Identification of Pests/Disease of Mango for U.P.

Abstract Views: 287  |  PDF Views: 0

Authors

Meenakshi Malik
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
Mukesh Sehgal
National Research Centre for Integrated Pest Management, New Delhi, India

Abstract


Mango described as the “king of fruits”, known for its delicious taste, high nutritive value, strong aroma is a prominent horticultural crop of India. The crop grown in diverse agro-climatic conditions face differential biotic and abiotic stress limiting the production and productivity of mango. Climate change is expected to provoke the changes in diversification and abundance of arthropods, geographical and temporal distribution of insect biotypes, insect pests, herbivore plant interactions, activity and abundance of natural enemies, species extinction and efficacy of crop protection technologies which in turn will have a major bearing on food and nutritional security. Severity of mango pests is influenced both by crop growth and prevailing weather. Developing a DSS for U.P. state based on the Agro-climatic zones is an initiative that can address the above issues to some extent and facilitate sustainable mango production. The state is being covered by 9 Agro-climatic Zones. Development of databases, information systems, expert system, Decision Support System has already taken place in Indian Council of Agriculture and Research but development of Decision Support System for mango according to different Agro-climatic zones of India is not yet available. To facilitate this communication it is necessary to have a DSS of the important crop for different zones.

Keywords


Mango, Agro-Climatic Zones, Decision Support System, Insects/Pests.

References