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Modelling internet of things driven sustainable food security system
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PurposeThe purpose of this paper is to model the sustainable food security system using various technologies driving internet of things (IoT). The right to food is a fundamental right of humans. With increasing population and urbanization, less land is being used for agricultural purposes. In addition, the climate change due to global warming often leads to frequent disasters such as droughts and floods, adversely affecting the food production. This leads to increased levels of poverty and hunger. Ensuring food security has become the prime agenda for all the policymakers and government bodies across the world. With changing global dynamics, traditional ways of ensuring food security will not be sufficient alone.Design/methodology/approachThere is a need to develop a sustainable food security system that not only focusses on food production but also equally emphasizes on the efficacy of food distribution and reducing food wastage. In this digital age, the emerging disruptive technologies like Block chain, robotics, big data analytics, and cloud computations, etc., are increasingly changing the functioning of various sectors, giving rise to IoT-based working environment. The policymakers are also exploring these technologies to maximize their outreach so as to benefit the larger set of population and to gain visualization and control over policy implementation using IoT. This paper attempts to model the sustainable food security system using various technologies driving IoT. It also studies the interrelationship among various technologies and their application in various levels of policy implementation. The methodology used in the paper is fuzzy-TISM, which not only provides the causal relationship among two technologies but also provides the magnitude of the cause–effect relationship and the hierarchical framework for the complex problem.FindingsThe paper is addressed to the design of sustainable food security system in the Indian context wherein government ensures food security for all, using public distribution system (PDS).Social implicationsThe paper is addressed to the design of sustainable food security system in Indian context wherein government ensures food security for all, using PDS.Originality/valueThis study is a novel attempt to integrate the IoT into the design of the PDS to ensure food security. The enabling factors for IOT are modelled using Fuzzy-TISM.
Title: Modelling internet of things driven sustainable food security system
Description:
PurposeThe purpose of this paper is to model the sustainable food security system using various technologies driving internet of things (IoT).
The right to food is a fundamental right of humans.
With increasing population and urbanization, less land is being used for agricultural purposes.
In addition, the climate change due to global warming often leads to frequent disasters such as droughts and floods, adversely affecting the food production.
This leads to increased levels of poverty and hunger.
Ensuring food security has become the prime agenda for all the policymakers and government bodies across the world.
With changing global dynamics, traditional ways of ensuring food security will not be sufficient alone.
Design/methodology/approachThere is a need to develop a sustainable food security system that not only focusses on food production but also equally emphasizes on the efficacy of food distribution and reducing food wastage.
In this digital age, the emerging disruptive technologies like Block chain, robotics, big data analytics, and cloud computations, etc.
, are increasingly changing the functioning of various sectors, giving rise to IoT-based working environment.
The policymakers are also exploring these technologies to maximize their outreach so as to benefit the larger set of population and to gain visualization and control over policy implementation using IoT.
This paper attempts to model the sustainable food security system using various technologies driving IoT.
It also studies the interrelationship among various technologies and their application in various levels of policy implementation.
The methodology used in the paper is fuzzy-TISM, which not only provides the causal relationship among two technologies but also provides the magnitude of the cause–effect relationship and the hierarchical framework for the complex problem.
FindingsThe paper is addressed to the design of sustainable food security system in the Indian context wherein government ensures food security for all, using public distribution system (PDS).
Social implicationsThe paper is addressed to the design of sustainable food security system in Indian context wherein government ensures food security for all, using PDS.
Originality/valueThis study is a novel attempt to integrate the IoT into the design of the PDS to ensure food security.
The enabling factors for IOT are modelled using Fuzzy-TISM.
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