Challenges and Solutions for Enhancing Agriculture Value Chain Decision-Making. A Short Review

Hernández, Jorge E.; Kacprzyk, Janusz; Panetto, Hervé; Fernández, Alejandro; Liu, Shaofeng; Ortíz, Ángel; Angelis, Marco de

doi:10.1007/978-3-319-65151-4_68

Cited by 18 publications

(7 citation statements)

References 54 publications

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“…Food processing companies' projects must benefit from financial levers that the government makes available to all in the manufacturing sector [196]. In order to further stimulate the investments, particularly in the SMEs and in innovative sectors, from financial tools considering the needs of the processing sector are decisive for the development of the implementation of development projects [197].…”

Section: Sustainability Of Ascmentioning

confidence: 99%

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

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

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560

339

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income.pdf 4.0 should help meeting sustainable challenges by increasing the agri-food supply chain stakeholders revenues as well as decreasing their pressure for handling complex and external factors they cannot control, such as weather, market behaviours and policies, but also to react on time by visualising current trends in needs. This paper focus principally on the factory farm model issued from the European and north American style. In those typologies of farms the Industry 4.0 elements can be introduced and merged with the agricultural domain to create the Agri-Food 4.0. The focus is more specialised on the industrial farming although the Agri-Food 4.0 is started to be adapted also to the organic and silvo-pasture paradigms. Thus, this paper, considering a review over than two hundred papers, provides a contribution to knowledge by establishing the linkages between new 4.0 trends in technologies and Agri-Food Supply Chain Challenges, which opens the 4.0 research field for a multidisciplinary work. The choice of the literature review methodology focused firstly on key words related to the Agri-food technology, then the second approach was to focus on selected journals and at the end we looked for the data-based repository and the linked publications. To accomplish this, the structure in this paper is as follows: in the first place, a compressive state of the art of Agri-Food 4.0 related technologies is covered. In the second place, a review and contribution coming from digital technologies to the new supply chain methods in Agri-Food shows linkages with next trends and technologies. Next, and linked to the agri-food supply chain challenges, the fourth section presents new trends and models in agri-food supply chains, especially in the domain of risk management, collaboration, governance, cold chain management, globalization, information and communication technologies, Logistics, supply chain structures and sustainable agri-food supply chains. Finally, the fifth section covers the main conclusions, visions and perspectives for this novel research. 2-Agri-food 4.0 and Technologies a State of the Art The agricultural sector has been active in digital innovation for decades already. Especially the advances in Precision Agriculture, remote sensing, robots, farm management information

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Section: Sustainability Of Ascmentioning

confidence: 99%

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

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

Self Cite

560

339

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show abstract

“…Firstly, the work identifies the positions where knowledge boundaries potentially exist in an agri-food value chain. In particular, boundary can exist between different stages of the value chain representing different knowledge domains, between science (such as research undertaken by universities and research institutes) and agriculture practice (Hernandez et al, 2017), and between different levels of knowledge even within the same knowledge domain. Secondly, the paper links three types of knowledge boundaries (syntactic, semantic and pragmatic), four boundary crossing mechanisms (i.e.…”

Section: Discussionmentioning

confidence: 99%

Knowledge mobilisation crossing boundaries: a multi-perspective framework for agri-food value chains

Liu¹,

Zhao²,

Chen³

et al. 2021

Acta Hortic.

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Knowledge has long been recognised as a valuable asset to individuals, organisations and economy, subsequently knowledge management (KM) has been a well-established area of research. Existing research has developed various classification schemes for knowledge, and a great number of KM process and lifecycle models have been proposed over the last few decades. In particular, knowledge transfer and sharing has received great attention. However, majority of existing work has focused on knowledge sharing within the same organisation or community where people have a shared sense of identity, values and some common practice, hence knowledge process and learning is within relatively homogeneous groups. There is inadequate research to address the issue of knowledge boundaries and approaches to knowledge mobilisation spanning across knowledge boundaries. The knowledge boundaries can erect significant barriers to knowledge sharing and flowing especially in value chain context where there are a great number of players from different domains, with varied level of knowledge, having different and possibly conflicting interests -participating in knowledge sharing activities. This paper will explore how such knowledge boundaries can be identified and how knowledge gaps among different value chain players can be closed by using appropriate boundary-crossing mechanisms. A multi-perspective knowledge mobilisation framework is proposed. Example applications of the knowledge mobilisation framework in agri-food value chain will be illustrated, based on the most recent developments from an EU collaborative project, RUC-APS (standing for Risk and Uncertain Conditions in Agriculture Production Systems), which is funded by European Commission's Horizon 2020 RISE programme.

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“…Increasingly challenging global and environmental requirements have resulted in agricultural systems coming under increasing pressure to enhance their resilience capabilities. As stated by Hernandez et al colleagues [16], integrated solutions are necessary to support knowledge-management, collaboration, risk management and regulation management across agriculture stakeholders. Such solutions need to consider both the capabilities of the web as a source of reusable information, and the web as platform on which systems (applications) operate.…”

Section: Group Decision Support Systemsmentioning

confidence: 99%

Web-Augmentation, Design Thinking, and Collaboration Engineering to Foster Innovation in DSS for Agriculture: A Case Study

Urbieta

Firmenich

Zaraté

et al. 2020

Studies in Systems, Decision and Control

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Decision making in agriculture increasingly relies on software, for example to gather important information or to weight alternatives. Information systems innovation in agriculture is a challenging and very active area. Existing software products, frequently implemented as web applications, are found to lack functionality, for example to support collaboration. Augmenting the web is a widely adopted technique for enhancing existing applications with new features which are not available out-of-the-shelf. Design thinking has proven to be an effective tool to support innovation on many domains. Collaboration Engineering is an effective means to reuse design experience of collaboration strategies. This work presents an approach to involve end-users in enhancing exiting web software to produce incremental innovations. The approach relies on Design Thinking, Web Augmentation and Collaboration Engineering. The approach was successfully tried in a case study letting end-users add collaboration support to a system that did not provide it.

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Challenges and Solutions for Enhancing Agriculture Value Chain Decision-Making. A Short Review

Cited by 18 publications

References 54 publications

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

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

Knowledge mobilisation crossing boundaries: a multi-perspective framework for agri-food value chains

Web-Augmentation, Design Thinking, and Collaboration Engineering to Foster Innovation in DSS for Agriculture: A Case Study

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