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An Extensive Framework Focused on Smart Agriculture Based Out of IoT

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Evolution of Digitized Societies Through Advanced Technologies

Part of the book series: Advanced Technologies and Societal Change ((ATSC))

Abstract

The world population is predicted to rise to more than 100 million, with agriculture food supply nearly projected to be 60% greater by 2060 than today. For the same materials, farmers have to produce more and supply a high volume of vegetables and fruits. Because of this pressure, one of the major aims of manufacturers is to find ways to maximise production while maintaining profitability. Agriculture is faced with a rejuvenation problem. Production has declined, but climatic change has also hindered data collection, storage, security, and sharing. In conventional agri-food systems, there is no link between the farmer and the consumer, meaning rises in input prices, including energy consumption restrictions. According to current IoT-based agriculture systems, these systems have a centralised structure and are not linked. This safeguards data integrity by ensuring there are still unaddressed issues and critical concerns, such as security and manipulation, as well as single points of failure. This study from our research group describes a future IoT using a blockchain paradigm to address these problems. Furthermore, it also offers new ways to encourage creativity. Very energy-efficient cluster assignment integrated approach to IoT agriculture that cuts energy usage and promotes network reliability. Poor-energy adoption clustering levels (PEACL) produce good outcomes. The findings of the simulation demonstrate that the suggested protocol network stability is 24% greater than PEACL as the first node to die in the event of PEACL failure, which occurs at around 158. IoT-based agriculture begins with the first node’s death occurring after 432 cycles. Still, the energy usage of IoT-based agriculture protocols is 78%, and PEACL’s is lower than that. An extension of the network life to additional rounds is also demonstrated, as well as an improvement in network lifetime.

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Authors and Affiliations

  1. School of Computer Science, UPES, Dehradun, India

    Manish Thakral, Rishi Raj Singh & Sandeep Pratap Singh

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  1. Manish Thakral
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  3. Sandeep Pratap Singh
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Correspondence to Manish Thakral .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

    Amitava Choudhury

  2. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    T. P. Singh

  3. School of Mines and Metallurgy, Kazi Nazrul University, Asansol, West Bengal, India

    Arindam Biswas

  4. Product Security VISA, Austin, TX, USA

    Mrinal Anand

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Thakral, M., Singh, R.R., Singh, S.P. (2022). An Extensive Framework Focused on Smart Agriculture Based Out of IoT. In: Choudhury, A., Singh, T.P., Biswas, A., Anand, M. (eds) Evolution of Digitized Societies Through Advanced Technologies. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-19-2984-7_12

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  • DOI: https://doi.org/10.1007/978-981-19-2984-7_12

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