Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture

Autor: Janusz Kacprzyk, Maria del Mar Eva Alemany Díaz, Mario Lezoche, Jorge E. Hernández, Hervé Panetto
Přispěvatelé: Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), University of Liverpool, Universitat Politècnica de València (UPV), IBSPAN, Systems Reseach Institute, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Polish Academy of Sciences
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Big Data
0209 industrial biotechnology
Internet of things
Artificial intelligence
General Computer Science
Process (engineering)
Emerging technologies
Supply chain
Big data
Interoperability
Internet of Things
09.- Desarrollar infraestructuras resilientes
promover la industrialización inclusiva y sostenible
y fomentar la innovación
Context (language use)
02 engineering and technology
Supply Chains
020901 industrial engineering & automation
Blockchain
Artificial Intelligence
0202 electrical engineering
electronic engineering
information engineering
Industrial organization
Supply chains
Agriculture 4.0
2. Zero hunger
Agri-Food 4.0
Agricultural machinery
business.industry
General Engineering
[INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering
02.- Poner fin al hambre
conseguir la seguridad alimentaria y una mejor nutrición
y promover la agricultura sostenible
13. Climate action
Agriculture
ORGANIZACION DE EMPRESAS
020201 artificial intelligence & image processing
business
Zdroj: Computers in Industry
Computers in Industry, Elsevier, 2020, 117:103187, ⟨10.1016/j.compind.2020.103187⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ISSN: 0166-3615
DOI: 10.1016/j.compind.2020.103187⟩
Popis: [EN] 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.
Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS "Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems" (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCARISE-2015.
Databáze: OpenAIRE
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