Analysis of India's agricultural ecosystem using knowledge-based Tantra framework

SM Prabhu, N Subramanyam - CSI Transactions on ICT, 2023 - Springer
CSI Transactions on ICT, 2023Springer
The information systems have been extremely useful in managing businesses, enterprises,
and public institutions such as government departments. But today's challenges are
increasingly about managing ecosystems. Ecosystem is a useful paradigm to better
understand a variety of domains such as biology, business, industry, agriculture, and
society. In this paper, we look at the Indian Agricultural ecosystem. It is a mammoth task to
assimilate the information for the whole ecosystem consisting of consumers, producers …
Abstract
The information systems have been extremely useful in managing businesses, enterprises, and public institutions such as government departments. But today’s challenges are increasingly about managing ecosystems. Ecosystem is a useful paradigm to better understand a variety of domains such as biology, business, industry, agriculture, and society. In this paper, we look at the Indian Agricultural ecosystem. It is a mammoth task to assimilate the information for the whole ecosystem consisting of consumers, producers, workers, traders, transporters, industry, and Government. There are myriad interventions by the state and the central Governments, whose efficacy is difficult to track and the outcomes hard to assess. A policy intervention that helps one part of the ecosystem can harm the other. In addition, sustainability and ecological considerations are also extremely important. In this paper, we make use of the Knowledge-based Tantra Social Information Management Framework to analyze the Indian Agricultural Ecosystem and build related Knowledge Graphs. Our analysis spans descriptive, normative, and transformative viewpoints. Tantra Framework makes use of concepts from Zachman Framework to manage aspects of social information through different perspectives and concepts from Unified Foundational Ontology to represent interrelationships between aspects.
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