The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Enhancing smart farming through the applications of Agriculture 4.0 technologies
Open accessAbstract
Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and moves toward a smarter, more efficient, environmentally responsible agriculture sector. Agricultural technologies have emerged to enhance sustainability and discover more effective farm methods. This encompasses all digitalisation and automation processes in business and our daily lives, including Big Data, Artificial Intelligence (AI), robots, the Internet of Things (IoT), and virtual and augmented reality. These technological advancements are having a profound impact on our lives. From a technical standpoint, it brings us to precision agriculture. This provides a data-driven strategy for efficiently growing and maintaining crops on cultivable land, enabling farmers to use most of the resources at their disposal. Throughout the supply chain, daily operations create massive volumes of data. Most of this information was previously untouched, but with the help of big data technologies, such information can be used to improve the performance and production of any crop. Depending on the crop type and its growth needs, digitised harvesters can help handle huge areas in various situations, particularly agriculture. This paper is brief about Agriculture 4.0 and its condition. Smart farming, Various key technologies and specific domains for the Exploring Agriculture 4.0 Domain are discussed in detail and, finally, identified and discussed significant applications of Agriculture 4.0 technologies. These technologies are essential to our lives since they simplify our daily duties without recognising them. In Agriculture 4.0 systems, fleets of digitised equipment employ current infrastructures like cloud computing to connect, identify the processing condition of different regions and the requirement for input materials and coordinate the machinery.
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Cites
Klerkx, L., Jakku, E., & Labarthe, P. (2019) · NJAS: Wageningen Journal of Life Sciences · doi:10.1016/j.njas.2019.100315 · Cited by 1,307
From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management
Saiz-Rubio, V., & Rovira-Más, F. (2020) · Agronomy · doi:10.3390/agronomy10020207 · Cited by 974
Decision support systems for agriculture 4.0: Survey and challenges
Zhai, Z., Martínez, J. F., Beltran, V., & Martínez, N. L. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105256 · Cited by 872
Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022) · Sustainable Operations and Computers · doi:10.1016/j.susoc.2022.01.008 · Cited by 859
Self-citationAgri-food 4.0: A survey of the supply chains and technologies for the future agriculture
Lezoche, M., Hernandez, J. E., Alemany Díaz, M. D. M. E., Panetto, H., & Kacprzyk, J. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103187 · Cited by 835
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3003910 · Cited by 808
Klerkx, L., & Rose, D. (2020) · Global Food Security · doi:10.1016/j.gfs.2019.100347 · Cited by 691
Agriculture 4.0: Broadening Responsible Innovation in an Era of Smart Farming
Rose, D. C., & Chilvers, J. (2018) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2018.00087 · Cited by 662
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Cited by
Sustainable farming practices and soil health: a pathway to achieving SDGs and future prospects
Sharma, P., Sharma, P., & Thakur, N. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00447-4 · Cited by 128
Metadata
- Authors
- Javaid, M., Haleem, A., Singh, R. P., & Suman, R.
- Venue
- International Journal of Intelligent Networks
- Publisher
- Elsevier BV
- Published
- 2022
- Volume
- 3
- Pages
- 150-164
- ISSN
- 2666-6030 (ISSN-L)
- OpenAlex
- W4300981940
- Cited by
- 573
- References
- 96
- FWCI
- 60.18
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.