The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming
Open accessAbstract
The impulse towards a larger introduction of Information and Communication Technology (ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large potentialities to provide benefits for both producers and consumers; on the other hand, pushing technological solutions into a rural context encounters several challenges.In this work, we provide a survey of the most recent research activities, in the form of both research projects and scientific literature, with the objective of showing the already achieved results, the current investigations, and the still open challenges, both technical and non technical.We mainly focus on the EU territory, identifying threats and concerns, and then looking at existing and upcoming solutions to overcome those barriers.
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Cites
Big Data in Smart Farming – A review
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.01.023 · Cited by 3,378
Mulla, D. J. (2013) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2012.08.009 · Cited by 1,982
A review on the practice of big data analysis in agriculture
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.09.037 · Cited by 1,174
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2015.08.011 · Cited by 894
Review on Application of Drone Systems in Precision Agriculture
Mogili, U. R., & Deepak, B. B. V. L. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.07.063 · Cited by 869
Next generation cloud computing: New trends and research directions
Varghese, B., & Buyya, R. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.020 · Cited by 857
Smart farming is key to developing sustainable agriculture
Walter, A., Finger, R., Huber, R., & Buchmann, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707462114 · Cited by 789
Khanna, A., & Kaur, S. (2019) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2018.12.039 · Cited by 744
Smart farming IoT platform based on edge and cloud computing
Zamora-Izquierdo, M. A., Santa, J., Martínez, J. A., Martínez, V., & Skarmeta, A. F. (2019) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2018.10.014 · Cited by 497
2022 International Conference on Robotics and Automation (ICRA)
(2022) · doi:10.1109/icra46639.2022 · Cited by 463
Cited by
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
Data-driven artificial intelligence applications for sustainable precision agriculture
Linaza, M. T., Posada, J., Bund, J., Eisert, P., Quartulli, M., Döllner, J., Pagani, A., G. Olaizola, I., Barriguinha, A., Moysiadis, T., et al. (2021) · Agronomy · doi:10.3390/agronomy11061227 · Cited by 310
Shang, L., Heckelei, T., Gerullis, M. K., Börner, J., & Rasch, S. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103074 · Cited by 258
Metadata
- Authors
- Bacco, M., Barsocchi, P., Ferro, E., Gotta, A., & Ruggeri, M.
- Venue
- Array
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 3-4
- Pages
- 100009
- ISSN
- 2590-0056 (ISSN-L)
- OpenAlex
- W2986260558
- Cited by
- 346
- References
- 40
- FWCI
- 20.83
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
