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Enhancing agricultural audit systems with IoT and predictive analytics: deployment and performance

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Detalhes bibliográficos
Resumo:This article proposes an extension of a geospatial-based agricultural audit platform by integrating Internet of Things technologies and predictive analytics. It builds on previous work to address field connectivity, scalability, and risk anticipation. The proposal outlines a modular architecture, identifies technical challenges and mitigation strategies, and presents use cases for different user profiles. Ethical, legal, and environmental implications of digitalisation are also discussed. This conceptual work supports future experimental validation and highlights the potential of digital transformation to enhance compliance with the Common Agricultural Policy and align with the European Green Deal priorities.
Autores principais:Correia, Maria Patrocínia
Outros Autores:Alves, Joaquim; Sequeira, Romeu; Exposto, José
Assunto:Agricultural audit management Geospatial data integration Internet of things Predictive analytics
Ano:2025
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB

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