The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.
Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture
Open accessAbstract
Abstract The term “Agri-Food 4.0” is an analogy to the term "Industry 4.0", coming from the concept “agriculture 4.0”. Since the origins of the industrial revolution, where the steam engines started the concept of Industry 1.0 and later the use of electricity upgraded the concept to Industry 2.0, the use of technologies generated a milestone in the industry revolution by addressing the Industry 3.0 concept. Hence, Industry 4.0, it is about including and integrating the latest developments based on digital technologies as well as the interoperability process across them. This allows enterprises to transmit real-time information in terms behaviour and performance. Therefore, the challenge is to maintain these complex networked structures efficiently linked and organised within the use of such technologies, especially to identify and satisfy supply chain stakeholders dynamic requirements. In this context, the agriculture domain is not an exception although it possesses some specialities depending from the domain. In fact, all agricultural machinery incorporates electronic controls and has entered to the digital age, enhancing their current performance. In addition, electronics, using sensors and drones, support the data collection of several agriculture key aspects, such as weather, geographical spatialization, animals and crops behaviours, as well as the entire farm life cycle. However, the use of the right methods and methodologies for enhancing agriculture supply chains performance is still a challenge, thus the concept of Industry 4.0 has evolved and adapted to agriculture 4.0 in order analyse the behaviours and performance in this specific domain. Thus, the question mark on how agriculture 4.0 support a better supply chain decision-making process, or how can help to save time to farmer to make effective decision based on objective data, remains open. Therefore, in this survey, a review of more than hundred papers on new technologies and the new available supply chains methods are analysed and contrasted to understand the future paths of the Agri-Food domain.
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Cites
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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
Kumar, S., Raut, R. D., Nayal, K., Kraus, S., Yadav, V. S., & Narkhede, B. E. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126023 · Cited by 412
Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114702 · Cited by 400
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
Tsolakis, N., Niedenzu, D., Simonetto, M., Dora, M., & Kumar, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.08.003 · Cited by 269
Metadata
- Authors
- Lezoche, M., Hernandez, J. E., Alemany Díaz, M. D. M. E., Panetto, H., & Kacprzyk, J.
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 117
- Pages
- 103187
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W2995946162
- Cited by
- 835
- References
- 108
- FWCI
- 63.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lezoche, M., Hernandez, J. E., Alemany Díaz, M. D. M. E., Panetto, H., & Kacprzyk, J. (2020). Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry. https://doi.org/10.1016/j.compind.2020.103187
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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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