The impact of 6G-IoT technologies on the development of agriculture 5.0: a review
Open accessAbstract
Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed intelligent machinery and technology to enhance productivity levels. To further automate and increase agricultural productivity while minimizing agricultural inputs and pollutants, a new approach to agricultural management based on the concepts of the fourth industrial revolution is being embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and actuators and the efficient collection and transfer of data. In addition, fueled by technologies such as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be inferred from the relevant scientific literature and research. In this article, we first introduce the scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the much-anticipated 6G-IoT communication systems. We then highlight the importance and influence of these developing technologies in the further advancement of smart agriculture and conclude with a discussion of future challenges and opportunities.
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Youth-Driven Agri-Entrepreneurship in Kerala
Mohan, D. (2025) · Advances in environmental engineering and green technologies book series · doi:10.4018/979-8-3693-9964-4.ch015 · Cited by 1 · see citing works
Impact of 6G Technologies on Industry 5.0
Haque, S., & Singh, S. K. (2025) · Advances in wireless technologies and telecommunication book series · doi:10.4018/979-8-3373-2220-9.ch005 · Cited by 1 · see citing works
Ogbodo, E. U., & Mendes, L. L. (2025) · IEEE Latin Conference on IoT (LCIoT) · doi:10.1109/lciot64881.2025.11118565 · Cited by 1 · see citing works
Soni, L., Taneja, A., & Sachdeva, A. (2025) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126626300011 · Cited by 1 · see citing works
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Computational, AI and IT Solutions Helping Agriculture
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Sürdürülebilirlik Kapsamında Akıllı Tarım Uygulamaları
EMİROĞLU, B. D. (2025) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub1102.c4405
- Authors
- Polymeni, S., Plastras, S., Skoutas, D. N., Kormentzas, G., & Skianis, C.
- Affiliations
- University of the Aegean (GR)
- Corresponding author
- Polymeni, Sofia
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2023-06-13
- Volume
- 12
- Issue
- 12
- Pages
- 2651
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W4380484237
- Cited by
- 121
- References
- 118
- Citations by year
- 2026: 24 · 2025: 49 · 2024: 40 · 2023: 8
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Electronics (publishedVersion, cc-by)
- Funders
- the research program AGRICA II (ESPA 2014-2020, MIS 5046750)
- Support of Regional Excellence (ESPA 2014-2020, MIS 5046750)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digitalization and Economic Development in Agriculture
- Keywords
- Agriculture 5.0, smart agriculture, Internet of Things, 5G, agricultural automation, agricultural robotics, artificial intelligence in agriculture, quantum sensing, agricultural data collection, agricultural history
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