Aggregate Farming in the Cloud: The AFarCloud ECSEL project

Castillejo, Pedro; Johansen, Gorm; Çürüklü, Baran; Bilbao, Sonia; Fresco, Roberto; Martínez-Rodríguez, Belén; Pomante, Luigi; Rusu, Cristina; Martínez-Ortega, José-Fernán; Centofanti, Carlo; Hakojärvi, Mikko; Santic, Marco; Häggman, Johanna

doi:10.1016/j.micpro.2020.103218

Cited by 27 publications

(7 citation statements)

References 8 publications

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“…The project builds upon the knowledge that partners gained in current or former EU projects and will demonstrate the newly conceived approaches to co-engineering across use cases spanning Automotive, Agriculture, Railway, Healthcare, Aerospace, and Industrial robotics. It is worth noting some ECSEL projects that have provided background and/or reusable results taken into account in VALU3S: MegaM@rt2 [109], AQUAS [110] and AFarCloud [111].…”

Section: Discussionmentioning

confidence: 99%

The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security

Barbosa

Basagiannis

Giantamidis

et al. 2020

2020 23rd Euromicro Conference on Digital System Design (DSD)

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Manufacturers of automated systems and their components have been allocating an enormous amount of time and effort in R&D activities, which led to the availability of prototypes demonstrating new capabilities as well as the introduction of such systems to the market within different domains. Manufacturers need to make sure that the systems function in the intended way and according to specifications. This is not a trivial task as system complexity rises dramatically the more integrated and interconnected these systems become with the addition of automated functionality and features to them. This effort translates into an overhead on the V&V (verification and validation) process making it time-consuming and costly. In this paper, we present VALU3S, an ECSEL JU (joint undertaking) project that aims to evaluate the state-of-the-art V&V methods and tools, and design a multi-domain framework to create a clear structure around the components and elements needed to conduct the V&V process. The main expected benefit of the framework is to reduce time and cost needed to verify and validate automated systems with respect to safety, cyber-security, and privacy requirements. This is done through identification and classification of evaluation methods, tools, environments and concepts for V&V of automated systems with respect to the mentioned requirements. VALU3S will provide guidelines to the V&V community including engineers and researchers on how the V&V of automated systems could be improved considering the cost, time and effort of conducting V&V processes. To this end, VALU3S brings together a consortium with partners from 10 different countries, amounting to a mix of 25 industrial partners, 6 leading research institutes, and 10 universities to reach the project goal.

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Section: Discussionmentioning

confidence: 99%

The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security

Barbosa

Basagiannis

Giantamidis

et al. 2020

2020 23rd Euromicro Conference on Digital System Design (DSD)

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“…Cutting-edge processing technologies and groundbreaking food systems call in question the current operational chains [98][99][100][101][102][103][104] by advancing more sustainably nutritious food options. Advanced food systems develop on inferior technology readiness levels and assessment of their possible subsequent benefits or obstacles constitutes an intricate task as a result of lacking integrated data.…”

Section: Sustainable Circular Economy Issues In Precision Agriculture...mentioning

confidence: 99%

Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review

et al. 2021

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In this article, we cumulate previous research findings indicating that cyber-physical production systems bring about operations shaping social sustainability performance technologically. We contribute to the literature on sustainable cyber-physical production systems by showing that the technological and operations management features of cyber-physical systems constitute the components of data-driven sustainable smart manufacturing. Throughout September 2020, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “sustainable industrial value creation”, “cyber-physical production systems”, “sustainable smart manufacturing”, “smart economy”, “industrial big data analytics”, “sustainable Internet of Things”, and “sustainable Industry 4.0”. As we inspected research published only in 2019 and 2020, only 323 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 119, generally empirical, sources. Future research should investigate whether Industry 4.0-based manufacturing technologies can ensure the sustainability of big data-driven production systems by use of Internet of Things sensing networks and deep learning-assisted smart process planning.

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“…There are many studies and publications in the domain of IoT for smart agriculture that aim to solve different problems and provide various solutions [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. The main issues for developing such solutions include hardware, networking, and platform challenges.…”

Section: Introductionmentioning

confidence: 99%

LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile

Ahmed

Gallardo

Zúñiga

et al. 2022

Sensors

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Nowadays, conventional agriculture farms lack high-level automated management due to the limited number of installed sensor nodes and measuring devices. Recent progress of the Internet of Things (IoT) technologies will play an essential role in future smart farming by enabling automated operations with minimum human intervention. The main objective of this work is to design and implement a flexible IoT-based platform for remote monitoring of agriculture farms of different scales, enabling continuous data collection from various IoT devices (sensors, actuators, meteorological masts, and drones). Such data will be available for end-users to improve decision-making and for training and validating advanced prediction algorithms. Unlike related works that concentrate on specific applications or evaluate technical aspects of specific layers of the IoT stack, this work considers a versatile approach and technical aspects at four layers: farm perception layer, sensors and actuators layer, communication layer, and application layer. The proposed solutions have been designed, implemented, and assessed for remote monitoring of plants, soil, and environmental conditions based on LoRaWAN technology. Results collected through both simulation and experimental validation show that the platform can be used to obtain valuable analytics of real-time monitoring that enable decisions and actions such as, for example, controlling the irrigation system or generating alarms. The contribution of this article relies on proposing a flexible hardware and software platform oriented on monitoring agriculture farms of different scales, based on LoRaWAN technology. Even though previous work can be found using similar technologies, they focus on specific applications or evaluate technical aspects of specific layers of the IoT stack.

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Aggregate Farming in the Cloud: The AFarCloud ECSEL project

Cited by 27 publications

References 8 publications

The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security

The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security

Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review

LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile

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