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Blockchain and Intelligent Computing Framework for Sustainable Agriculture: Theory, Methods, and Practice

Blockchain and Intelligent Computing Framework for Sustainable Agriculture: Theory, Methods, and Practice

Saumendra Das, N. Saibabu, D. Pranaya
Copyright: © 2023 |Pages: 21
ISBN13: 9798369300442|ISBN13 Softcover: 9798369300480|EISBN13: 9798369300459
DOI: 10.4018/979-8-3693-0044-2.ch012
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MLA

Das, Saumendra, et al. "Blockchain and Intelligent Computing Framework for Sustainable Agriculture: Theory, Methods, and Practice." Intelligent Engineering Applications and Applied Sciences for Sustainability, edited by Brojo Kishore Mishra, IGI Global, 2023, pp. 208-228. https://doi.org/10.4018/979-8-3693-0044-2.ch012

APA

Das, S., Saibabu, N., & Pranaya, D. (2023). Blockchain and Intelligent Computing Framework for Sustainable Agriculture: Theory, Methods, and Practice. In B. Mishra (Ed.), Intelligent Engineering Applications and Applied Sciences for Sustainability (pp. 208-228). IGI Global. https://doi.org/10.4018/979-8-3693-0044-2.ch012

Chicago

Das, Saumendra, N. Saibabu, and D. Pranaya. "Blockchain and Intelligent Computing Framework for Sustainable Agriculture: Theory, Methods, and Practice." In Intelligent Engineering Applications and Applied Sciences for Sustainability, edited by Brojo Kishore Mishra, 208-228. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-0044-2.ch012

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Abstract

Any country's economy must prioritise the sustainable development of agriculture and related services. Understanding the effect of intelligent computing on sustainable agriculture requires examining the different challenges this study has brought up. About 600 research papers on intelligent computing for sustainable agriculture were gathered for the qualitative study. Additionally, 66 papers from the research papers that took a proper screening for relevance were selected. These papers have been divided into three categories: blockchain applications for sustainable agriculture, blockchain applications for IoT in agriculture, and the impact of machine learning and blockchain on agriculture. It was noted in all of the studies that there is growing interest in using technology for sustainable agriculture, and it was also noted that the majority of the study has only recently been started. Therefore, the application of modern technologies for security, trust, and confidentiality among stockholders may make sustainable agriculture viable.

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