Decision Support Systems For Agricultural Crop Planning To Enhance Farmers Income

Decision Support Systems For Agricultural Crop Planning To Enhance Farmers Income

AUTHORS :

S. N. Tripathy

 

DOI :

CP2020/OCT-MAR/ARTCL1

 

ABSTRACT :

The present paper with the help of secondary sources of data attempts to capture the major events that shaped the course of cooperative movements in Odisha. The paper portrays the prevailing socio-economic factors and key events which contributed to the development of cooperatives in different phases and its genesis and growth trend in Odisha in the national perspectives.

 
REFERENCES :
  1. Bengal under the Lieutenant-Governors, Vol. I. In C. Buckland – Northcok, S. (n.d.).
  2. Madras Provincial Banking Enquiry Committee Report, 5 Vols. Madras. – Government of Madras. (1930).
  3. Contractual Labour in Agricultural Sector. Discovery Publishing. – Tripathy, S. (2000).
  4. Co-operative Movement in Odisha: Highlights of Progress. Odisha Review, February – March, 51-54. – Senapati, S. (2012).
  5. Annual Activity Report 2018-19. Cooperation Department. –   Government of Odisha.
 
KEYWORDS :

Cooperatives Movements, Rural credit, Money lenders, Farmers.

AUTHORS :

S. S. Managave & R. D. Kumbha

 
DOI :

CP2019/APR-SEPT/ARTCL4

 
ABSTRACT :

India is a land of farmers. Farming is main part of Indian economy. Cultivator needs up-to-date information to take Operational, strategic and tactic decisions. These decisions directly influence on the yield and price of the agriculture product grown by the farmer.

Traditionally Indian farmers take decisions based on expert judgment or their own experience. Very few farmers’ approaches agriculture offices, APMC offices and Agriculture Universities seeking latest methods and practices of farming with respect to fertiliser management, pesticide scouting management, scheduling of water, preparation of soil, selection of seed and management of weed.Due to lack of easy availability, farmers are isolated from the guidance of agriculture experts and scientists.

The DSS can be implemented through Android app, web and SMS to provide the up-to-date agricultural information.Agricultural DSS can help farmers to take right decision at right time for enhancing the crop yield, get best prices to their products. This paper initially reviews various DSS in agricultural field. Considering numerous DSS developed in agriculture, we sought systems for enhancing the yield of the crop. The income of the farmer is not only depending on the yield of the crop, but it is also influenced by the price offered in the market for the grown crop. The price of agriculture product is purely depending upon the demand and supply.

Most farmers incurred the losses or got substantial lower income due to unfair price for their product. Due to which many farmers have committed to suicide. The number is increasing every year. Government has framed many policies such as subsidy, agriculture insurance, offering FRP to each crop etc, in order to control suicides. This paper present need of DSS that provide the farmers with up-to-date information of present requirement of each crop in terms of cultivation area and actual cultivated area of each crop till the date.

This DSS can help farmers to select appropriate crop to be is cultivated based on demand and potential supply.Finally paper concluded with a conceptual model of DSS to provide up-to-date information of present demand and potential supply of agricultural crop in order to choose the best crop to be grown.

 

 
REFERENCES :
    1. Bengal under the Lieutenant-Governors, Vol. I. In C. Buckland – Northcok, S. (n.d.).
    2. Madras Provincial Banking Enquiry Committee Report, 5 Vols. Madras. – Government of Madras. (1930).
    3. Contractual Labour in Agricultural Sector. Discovery Publishing. – Tripathy, S. (2000).
    4. Co-operative Movement in Odisha: Highlights of Progress. Odisha Review, February – March, 51-54. – Senapati, S. (2012).
    5. Annual Activity Report 2018-19. Cooperation Department. –   Government of Odisha.
 
KEYWORDS :

Agriculture, DSS, Demand, Supply