Remote access of ISO 11783 process data by using OPC Unified Architecture technology

Oksanen, Timo; Piirainen, Pyry; Seilonen, Ilkka

doi:10.1016/j.compag.2015.08.002

Cited by 23 publications

(9 citation statements)

References 12 publications

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“…That is why the first step was taken to devise the system of contamination recognition of tiny seeds (tailings). In precise farming, automated seeders are used more and more often and the above system could be applied in those devices [62,63]. It was also noted that high effectiveness in the process of classifying various varieties of grains can be achieved when one takes into consideration proper determination of physical features of grains such as: the mass of a thousand seeds, average geometrical diameter, globosity, grain volume, area, hopper density, real density, porosity and color parameters [64].…”

Section: Results Of Statistical Analysismentioning

confidence: 99%

The Use of Image Analysis to Detect Seed Contamination—A Case Study of Triticale

Gierz

Przybył

Koszela

et al. 2020

Sensors

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Samples of triticale seeds of various qualities were assessed in the study. The seeds were obtained during experiments, reflecting the actual sowing conditions. The experiments were conducted on an original test facility designed by the authors of this study. The speed of the air (15, 20, 25 m/s) transporting seeds in the pneumatic conduit was adjusted to sowing. The resulting graphic database enabled the distinction of six classes of seeds according to their quality and sowing speed. The database was prepared to build training, validation and test sets. The neural model generation process was based on multi-layer perceptron networks (MLPN) and statistical (machine training). When the MLPN was used to identify contaminants in seeds sown at a speed of 15 m/s, the lowest RMS error of 0.052 was noted, whereas the classification correctness coefficient amounted to 0.99.

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Section: Results Of Statistical Analysismentioning

confidence: 99%

The Use of Image Analysis to Detect Seed Contamination—A Case Study of Triticale

Gierz

Przybył

Koszela

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…The heterogeneity of data types and formats can also affect the performance of a protocol employed for communicating the information. To cater to this problem Agricultural Industry Electronics Foundation (AEF) for tractors and agricultural machinery, which is very relevant in arable farming, has developed a standard ISO 11783 [95], [96], [97]. Similarly, AgroXML developed by the Association for Technologies and Structures in Agriculture (KTBL) [98], [99], [100].…”

Section: Global Consortium For Development Of Seamless Wireless Senso...mentioning

confidence: 99%

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

2022

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Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors to remotely monitor and report conditions of the field, climate, and crops. This enables efficient management of resources like minimizing water requirements for irrigation and minimizing the use of toxic pesticides. Furthermore, the recent boom in Artificial Intelligence can enable farmers to deploy autonomous farming machinery and make better predictions of the future based on present and past conditions to minimize crop diseases and pest infestation. Together these two enabling technologies have revolutionized conventional agriculture practices. This survey paper provides: (a) A detailed tutorial on the available advancements in the field of smart agriculture systems through IoT technologies and AI techniques; (b) A critical review of these two available technologies and challenges in their widespread deployment; and (c) An in-depth discussion about the future trends including both technological and social when smart agriculture systems will be widely adopted by the farmers globally.

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“…Specifically, a bi-directional transformation algorithm is developed and validated for three use cases, namely, building automation, power grid, and smart devices. Under the category others, in the context of precision agriculture, Oksanen et al [173] demonstrate the feasibility of using OPC UA to transfer information of a mobile agricultural vehicle, i.e., a tractor. A data logger acquires the vehicle process data according to the ISO 11783 standard, whereas an OPC server makes those data available for the OPC client.…”

Section: Classificationmentioning

confidence: 99%

“…Such a prototype was based on the cross-platform OPC UA specification entitling standards and related technologies for communication between automation systems and IT systems in farms and forest related process. Some papers related with this project have been published [173,174].…”

Section: Randd Projectsmentioning

confidence: 99%

A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments

et al. 2019

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Extensive digitization and interconnection through networks have ushered in a number of new paradigms over the last years: Internet of Things, cyber–physical systems, Industry 4.0, etc. These challenging systems rely on an effective information communication between distributed components. Therefore, the heterogeneity of entities, both hardware and software, must be handled to achieve an operative interoperability and a proper behavior. However, there is also a heterogeneous availability of solutions; different technologies, protocols, and architectures aim to achieve a seamless interconnection. Henceforth, the standardization still requires great efforts from industrial and scientific environments. In this sense, the interface of the open platform communications (OPC) has supported connectivity for automation and supervision infrastructures for more than two decades. The OPC comprises the so-called classic OPC, the original protocol, as well as the last specification, unified architecture (UA). The widespread utilization of the classic OPC together with the powerful functionalities of OPC UA, make the latter one of the main candidates to lead the standardization and systems integration. This paper presents a survey of recent OPC-based systems reported in scientific literature for different domains as well as research projects. The goal of this paper is to provide a broad perspective about the OPC’ applicability and capabilities in order to support the decision about communication interfaces. The results are analyzed and discussed putting special attention on the aforementioned new paradigms. Finally, the main conclusions and open research directions are highlighted.

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Remote access of ISO 11783 process data by using OPC Unified Architecture technology

Cited by 23 publications

References 12 publications

The Use of Image Analysis to Detect Seed Contamination—A Case Study of Triticale

The Use of Image Analysis to Detect Seed Contamination—A Case Study of Triticale

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments

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