The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
Abstract
The three previous industrial revolutions profoundly transformed agriculture industry from indigenous farming to mechanized farming and recent precision agriculture. Industrial farming paradigm greatly improves productivity, but a number of challenges have gradually emerged, which have exacerbated in recent years. Industry 4.0 is expected to reshape the agriculture industry once again and promote the fourth agricultural revolution. In this article, first, we review the current status of industrial agriculture along with lessons learned from industrialized agricultural production patterns, industrialized agricultural production processes, and the industrialized agri-food supply chain. Furthermore, five emerging technologies, namely the Internet of Things, robotics, artificial intelligence, big data analytics, and blockchain, toward Agriculture 4.0 are discussed. Specifically, we focus on the key applications of these emerging technologies in the agricultural sector and corresponding research challenges. This article aims to open up new research opportunities for readers, particularly industrial practitioners.
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Cites
Federated Machine Learning: Concept and Applications
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3298981 · Cited by 6,322
Self-citationIndustry 4.0: A survey on technologies, applications and open research issues
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Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
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Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.032 · Cited by 758 · cited 1×
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Security services using blockchains: a state of the art survey
Salman, T., Zolanvari, M., Erbad, A., Jain, R., & Samaka, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2863956 · Cited by 502
Smart Livestock Farms Using Digital Twin: Feasibility Study
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The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Abbasi, R., Martinez, P., & Ahmad, R. (2022) · Smart Agricultural Technology · doi:10.1016/j.atech.2022.100042 · Cited by 531
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Mitra, A., Vangipuram, S. L. T., Bapatla, A. K., Bathalapalli, V. K. V. V., Mohanty, S. P., Kougianos, E., & Ray, C. (2022) · arXiv · doi:10.48550/arxiv.2201.04754 · Cited by 32
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Metadata
- Authors
- Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2021-06
- Volume
- 17
- Issue
- 6
- Pages
- 4322-4334
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W3035883408
- Cited by
- 808
- References
- 6
- FWCI
- 51.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M. (2021). From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2020.3003910
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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