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Agricultural Resource Planning through-IT platform —An approach

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Abstract

Agriculture happens to be the mainstay of Indian Economy. Even today seventy percentage of the population depend on agriculture as the core economic activity. Nevertheless as the commodity market is the farmers — particularly the small farmer are unable even to cover their cost of production. Unlike in US-EU they do not have a back up of significant subsidy. The result is a diminished attractiveness of agriculture as a paying industry. The farmers mostly operate in production segment of the value chain and as such is not in a position the capture major share of the total value created. In fact much of the value created by this chain is captured by the segments both upstream & downstream of this chain. It is a fact that in the current scenario — the powerless (economic) farmers cannot do much because of immense competition in the production segment. However this paper makes an attempt to capture some more value with the help of some more knowledge captured through an IT platform.

This paper proposes an economic model that integrates through a computer network some of the upstream segments like the producing centers, Market, logistics so that the farmers can capture some more value. This paper proposes a network environment for the producers as well as the marketing associates which can use the IT tools to forecast commodity prices in different markets and accordingly advice the farmers to shift this producer to a particular Mundi for an expected price recovery. ARP — as its called (Agricultural Resource Planning) will help the farmer to the extent that the latter knows that for maximization of value capture he needs to sell his commodity in which market. This also calls for free movement of grain / commodity to different market. This exercise will help reduce some of the uncertainty associated with today’s production-logistics-sale-scenario.

This model is proposed and not tested yet. Model results can be discussed once it is put on test at least with a control group of farmers.

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References

  • Bantham, Murray.PARI DSS: The Parkland Agriculture Research Initiative, Decision Support System. University of Saskatchewan, Saskatoon, SK, S7N 0W0

  • Bhattacharya, KK, (24–27th March 2002). “AModel of Integration of Information Technology in Agriculture Extension for Improving Crop Production-A case study of Gwalior District”. A Paper Published in Souvenir of 2nd Global Conference on Flexible System Management

  • Chakravarty, Sukhmoy (1999). Development Planning — The Indian Experience Oxford University Press New Delhi India

    Google Scholar 

  • Saloner, Garth Andrea Shepard, Joel Podolny. (2000). Strategic Management: Wiley Publisher,

  • Solomon J., (2000). “Economics”Tata McGraw-Hill Publishing Company Ltd New Delhi India.

    Google Scholar 

Bibliography

  • Arlo Biere, Agribusiness Logistics: An Emerging Field in Agribusiness Education, Kansas State University, Manhattan.

  • Averous, Christian P. (1986) “Information Systems in Urban and Regional Planning.”

  • Basu Amit and Siems Thomas F. (November 2004) “The Impact Of E-Business Technologies On Supply Chain Operations: A Macroeconomic Perspective”, Federal Reserve Bank Of Dallas.

  • Boehlje, M. (1996) “Industrialization of Agriculture: What are the Implications?”Choices, First Quarter, pp. 30–33.

  • Chapter 10, Arab Authority for Agricultural Investment and Development, Annual Report 2003.

  • Dicks, J. (2002), Plant bioinformatics: current status and future trends.AgBiotechNet 4, ABN 080.

    Google Scholar 

  • Foltz Jeremy, Bruce A. Larson, and Rigoberto Lopez (February 2000) Land Tenure, Investment, and Agricultural Production in Nicaragua, Harvard University.

  • Hemming, David (2004) “Staying on Top of Agbiotech — An International Perspective” AgBiotechNet CABI Publishing Wallingford, Oxon OX10 8DE, UK.

    Google Scholar 

  • Jenine Beekhuyzen BInfTech, DipBus (2001), “Organisational Culture and Enterprise Resource Planning (ERP) Systems Implementation”, Griffith University.

  • Kinsey, J. (November 2000) “A Faster, Leaner, Supply Chain: New Uses of Information Technology”,Amer. J. Agr. Econ. 82: 1123–1129.

    Article  Google Scholar 

  • Kucera, Karl P. (1993) “Application of Geographic Information System in Land-Use Planning for Integrated Agricultural Development Planning.” InSustainable Natural Resource Management and Spatial Planning in Developing Countries: Geo-Information Technology Perspective.

  • Muirhead, S. (October 30, 2000) “Companies join to form commodity e-marketplace” Feedstuffs.: 1, 5.

  • Rayport, J.F. and J.J. Sviokla, (November–December 1995) “Exploiting the Virtual Value Chain”,Harvard Business Review.

  • Robeson, J.F. and W. C. Copacino (1994),The Logistics Handbook. Free Press, New York, 954 pp.

    Google Scholar 

  • Simchi-Levi David,. Wu David S, and Shen. Max Z (2004) Handbook of “Quantitative Supply Chain Analysis Modeling in the E-Business” Era Kluwer Academic Publishers.

Download references

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Correspondence to K. K. Bhattacharya.

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Bhattacharya, K.K., Singh, H. Agricultural Resource Planning through-IT platform —An approach. Oper Res Int J 5, 49–65 (2005). https://doi.org/10.1007/BF02944160

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