Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals

The world is currently experiencing a profound transformation driven by the convergence of disruptive technologies under the concept of Industry 4.0. These technologies have driven sectors such as agriculture to modernise and automate for greater sustainability, leading to what is now referred to as...

ver descrição completa

Detalhes bibliográficos
Autores: Bustamante Villagomez, Diego Fernando, Sánchez Crespo, Luis Enrique, García Rosado, David, Santos-Olmo Parra, Antonio, Fernández-Medina Patón, Eduardo
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/46636
Acesso em linha:https://doi.org/10.1016/j.cose.2025.104650
https://www.sciencedirect.com/science/article/pii/S0167404825003396
https://hdl.handle.net/10578/46636
Access Level:acceso abierto
Palavra-chave:Artificial intelligence
Cybersecurity
Digital agriculture
Sustainability
id ES_cc23e6c0baefb242a65807ec1fa9d047
oai_identifier_str oai:ruidera.uclm.es:10578/46636
network_acronym_str ES
network_name_str España
repository_id_str
spelling Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposalsBustamante Villagomez, Diego FernandoSánchez Crespo, Luis EnriqueGarcía Rosado, DavidSantos-Olmo Parra, AntonioFernández-Medina Patón, EduardoArtificial intelligenceCybersecurityDigital agricultureSustainabilityThe world is currently experiencing a profound transformation driven by the convergence of disruptive technologies under the concept of Industry 4.0. These technologies have driven sectors such as agriculture to modernise and automate for greater sustainability, leading to what is now referred to as Agriculture 4.0 However, this transformation entails risks and requires new frameworks that address cybersecurity, sustainability, and knowledge reuse. In this paper, we conduct a systematic review of these new systems with the aim of identifying their main shortcomings and proposing a new framework. The review revealed a significant gap in comprehensively addressing cybersecurity, AI, and sustainability. This highlights the need for deeper exploration of how these elements interact to benefit the agricultural sector. To this end, we propose the development of the QUILLAQUA framework, oriented towards secure, intelligent, and sustainable agriculture, with a focus on fostering effective synergies among these crucial components. This framework integrates advanced technologies in cybersecurity, IoT, and AI to optimise the management of water and nutritional resources in hydroponic systems, ensuring sustainability and data security. This approach aims to enhance technological efficiency in agriculture. It also aims to foster greater awareness to tackle present and future challenges in sustainable agriculture. By doing so, it ensures a successful transition towards more digitized and secure agricultural practices.Elsevier202620262025info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.1016/j.cose.2025.104650https://www.sciencedirect.com/science/article/pii/S0167404825003396https://hdl.handle.net/10578/46636reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésDi4SPDS (PCI2023145980-2)KOSMOS-UCLM (PID2024-155363OB-C44)AURORA (SBPLY/24/180225/ 000074)RADAR (2025-GRIN-38447)subvención RED2024-154240-Tinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/466362026-05-27T07:36:41Z
dc.title.none.fl_str_mv Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
title Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
spellingShingle Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
Bustamante Villagomez, Diego Fernando
Artificial intelligence
Cybersecurity
Digital agriculture
Sustainability
title_short Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
title_full Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
title_fullStr Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
title_full_unstemmed Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
title_sort Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals
dc.creator.none.fl_str_mv Bustamante Villagomez, Diego Fernando
Sánchez Crespo, Luis Enrique
García Rosado, David
Santos-Olmo Parra, Antonio
Fernández-Medina Patón, Eduardo
author Bustamante Villagomez, Diego Fernando
author_facet Bustamante Villagomez, Diego Fernando
Sánchez Crespo, Luis Enrique
García Rosado, David
Santos-Olmo Parra, Antonio
Fernández-Medina Patón, Eduardo
author_role author
author2 Sánchez Crespo, Luis Enrique
García Rosado, David
Santos-Olmo Parra, Antonio
Fernández-Medina Patón, Eduardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Artificial intelligence
Cybersecurity
Digital agriculture
Sustainability
topic Artificial intelligence
Cybersecurity
Digital agriculture
Sustainability
description The world is currently experiencing a profound transformation driven by the convergence of disruptive technologies under the concept of Industry 4.0. These technologies have driven sectors such as agriculture to modernise and automate for greater sustainability, leading to what is now referred to as Agriculture 4.0 However, this transformation entails risks and requires new frameworks that address cybersecurity, sustainability, and knowledge reuse. In this paper, we conduct a systematic review of these new systems with the aim of identifying their main shortcomings and proposing a new framework. The review revealed a significant gap in comprehensively addressing cybersecurity, AI, and sustainability. This highlights the need for deeper exploration of how these elements interact to benefit the agricultural sector. To this end, we propose the development of the QUILLAQUA framework, oriented towards secure, intelligent, and sustainable agriculture, with a focus on fostering effective synergies among these crucial components. This framework integrates advanced technologies in cybersecurity, IoT, and AI to optimise the management of water and nutritional resources in hydroponic systems, ensuring sustainability and data security. This approach aims to enhance technological efficiency in agriculture. It also aims to foster greater awareness to tackle present and future challenges in sustainable agriculture. By doing so, it ensures a successful transition towards more digitized and secure agricultural practices.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.cose.2025.104650
https://www.sciencedirect.com/science/article/pii/S0167404825003396
https://hdl.handle.net/10578/46636
url https://doi.org/10.1016/j.cose.2025.104650
https://www.sciencedirect.com/science/article/pii/S0167404825003396
https://hdl.handle.net/10578/46636
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Di4SPDS (PCI2023145980-2)
KOSMOS-UCLM (PID2024-155363OB-C44)
AURORA (SBPLY/24/180225/ 000074)
RADAR (2025-GRIN-38447)
subvención RED2024-154240-T
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419672418385920
score 15,198674

Registos relacionados