A Smart Vertical Farming System to Evaluate Productivity, Quality, and Sustainability of Agricultural Production

Grasso, Nicolò; Fasciolo, Benedetta; Bruno, Giulia; Lombardi, Franco

doi:10.1007/978-3-031-38165-2_108

Cited by 1 publication

(1 citation statement)

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“…The type of information stored in the attribute can refer to the specific conditions of the physical entity such as the attribute “temperature”, or they can refer to KPIs that provide qualitative indicators about the physical entity, such as the indicator “Leaf area”. To this end, and by adopting the KPI formalization for aeroponic systems suggested by [ 76 ], the digital twin attributes are grouped as follows: Environment attributes that provide information about the plant growth conditions (i.e., about the environment of the physical entity); Productivity attributes which are KPIs that provide information about the overall biomass; Quality attributes, which refer to vegetable quality; Environmental sustainability attributes, that take into consideration the sustainability of the growth process. …”

Section: Case Studymentioning

confidence: 99%

IoT-Based Framework for Digital Twins in the Industry 5.0 Era

Awouda,

Traini,

Bruno

et al. 2024

Sensors

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Digital twins are considered the next step in IoT-based cyber–physical systems; they allow for the real-time monitoring of assets, and they provide a comprehensive understanding of a system behavior, allowing for data-driven insights and informed choices. However, no comprehensive framework exists for the development of IoT-based digital twins. Moreover, the existing frameworks do not consider the aspects introduced by the Industry 5.0 paradigm, such as sustainability, human-centricity, and resilience. This paper proposes a framework based on the one defined as the outcome of a project funded by the European Union between 2010 and 2013 called the IoT Architectural Reference Model (IoT-A or IoT-ARM), with the aim of the development and implementation of a standard IoT framework that includes digital twins. This framework establishes and implements a standardized collection of architectural instruments for modeling IoT systems in the 5.0 era, serving as a benchmark for the design and implementation of an IoT architecture focused on digital twins and enabling the sustainability, resilience, and human-centricity of the information system. Furthermore, a proof of concept of a monitoring digital twin for a vertical farming system has been developed to test the validity of the framework, and a discussion of applications in the manufacturing and service sectors is presented.

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