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An Information Architect's Approach to Address Indian Farmers' Indebtedness
Author(s) -
Pranab Kumar Das,
Abhinav Das
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2015904622
Subject(s) - computer science , world wide web , data science
Indian farmer, including their counterparts in some developed countries, fell in debt-trap even as GDP and food prices soared and many sectors of the economy shared benefits of GDP growth. Apparently, none of the systems— colonial, socialist, or market-based—have tools to share economic prosperity with the farmer 1 . The paper simulates steps in order to experimentally demonstrate that there could be very high risk in agricultural production. Finally, it proceeds to outline architecture of a centralized digital market, different from existing forms of markets available to the farmer, which addresses such risk as is associated with payoff from agriculture. General Terms Pearson r: Pearson r coefficient determines correlation between two data series, which can be positive or negative depending on whether both series increase or decrease together or one increases while the other decreases. A lower or higher absolute value of r indicates weaker or stronger

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