iPaaS in Agriculture 4.0: An Industrial Case
Rafael Cestari, Sebastien Ducos (LIUPPA), Ernesto Exposito (LIUPPA)

TL;DR
This paper presents an open-source, customizable iPaaS architecture tailored for Agriculture 4.0, integrating diverse data sources and decision models to automate and optimize industrial processes, demonstrated through a grain storage case study.
Contribution
It introduces a novel open-source iPaaS framework for Agriculture 4.0 that enhances integration, interoperability, and decision-making capabilities beyond existing solutions.
Findings
Successful implementation of a flexible, open-source iPaaS in agriculture.
Improved automation and decision support in grain storage process.
Comparison shows reduced human intervention and increased efficiency.
Abstract
Current automation approaches in the Industry 4.0 have generated increased interest in the utilization of Integration Platforms as a Service (iPaaS) cloud architectures in order to unify and synchronize several systems, applications, and services in order to build smart solutions for automated and adaptive industrial process management. Existing iPaaS solutions present several out-of-the-box connectors and automation engines for easier integration of customers' projects, but show issues regarding overall adaptation outside their scope, brand locking, and occasionally high prices. Moreover, existing platforms fail to respond adequately to the needs of deploying multiple decision models capable of offering automated or semi-automated management of processes, thanks to the integration of the large diversity of data and event sources as well as the different physical or logical action…
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Taxonomy
TopicsDigital Transformation in Industry
