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Eleni Symeonaki
Agricultural University of Athens

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Chapter
Published: 01 June 2021 in Advances on P2P, Parallel, Grid, Cloud and Internet Computing
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As part of the latterly introduced approach of Agriculture 4.0, practices involving ubiquitous computing advancements and conceptual innovations of “smart” agricultural production tend to be adopted. This fact is considered to be critical in addressing the challenge of securing adequate food supplies for the constantly increasing world population, taking also into regard the imperative necessity of exploiting natural resources according to policies related to sustainable growth. Moreover it has already been recognized that enabling the Internet of Things (IoT) wireless technologies into livestock farming systems for the benefit of sustainable growth is of high significance. To this end, potential solutions should be provided for developing responsive and adaptive IoT integrated systems which will deliver a wide variety of qualitative low-cost services in accordance with the objectives of modern sustainable livestock farming. This work presents and critically analyzes the existence, functionality and interoperability of various approaches in this area, as well as their maturity to be integrated toward the concept of Agriculture 4.0. In addition to this, some key challenges are identified regarding the management, process and exchange of the large amounts of heterogeneous sensory raw data that are acquired remotely in precision livestock farming environments.

ACS Style

Eleni Symeonaki; Konstantinos G. Arvanitis; Dimitrios Loukatos; Dimitrios Piromalis. Enabling IoT Wireless Technologies in Sustainable Livestock Farming Toward Agriculture 4.0. Advances on P2P, Parallel, Grid, Cloud and Internet Computing 2021, 213 -232.

AMA Style

Eleni Symeonaki, Konstantinos G. Arvanitis, Dimitrios Loukatos, Dimitrios Piromalis. Enabling IoT Wireless Technologies in Sustainable Livestock Farming Toward Agriculture 4.0. Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 2021; ():213-232.

Chicago/Turabian Style

Eleni Symeonaki; Konstantinos G. Arvanitis; Dimitrios Loukatos; Dimitrios Piromalis. 2021. "Enabling IoT Wireless Technologies in Sustainable Livestock Farming Toward Agriculture 4.0." Advances on P2P, Parallel, Grid, Cloud and Internet Computing , no. : 213-232.

Journal article
Published: 01 March 2021 in European Journal of Investigation in Health, Psychology and Education
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Due to the dynamic nature of the agricultural industry, educators and their institutions face difficult challenges as they try to keep pace with future demands for knowledge and skilled workers. On the other hand, computational thinking (CT) has drawn increasing attention in the field of science, technology, engineering, and mathematics (STEM) education at present and, as advanced technologies and tools emerge, it is imperative for such innovations to be sustained with knowledge and skill among STEM educators and practitioners. The present case study aims to explore the relation between CT, STEM and agricultural education training (AET) in a Greek vocational training institute (IEK), the Agriculture IEK of Metamorfosis city (IEKMC), which is active in agriculture education. The research methodology is utilized according the positivist philosophical approach through data acquisition employing a questionnaire and the quantitative (statistical) analysis of data collected. The sample consists of IEKMC educators and students selected based on simple random sampling. Based on the participants belief that CT and STEM philosophy add value in the learning process, it focuses on the application of knowledge in the real world (students) and problem solving using new technologies (educators). Educators consider “experiments” as the most significant educational tool for problem solving in teaching practice. Students rate Greek Agriculture Education and Training (GAET) higher than educators. However, the participants evaluate GAET very low due to the lack of new innovative teaching methods being introduced. Finally, there is great interest in the implementation of CT and STEM in the European Union (EU) by students and educators.

ACS Style

Eleftherios Chondrogiannis; Eleni Symeonaki; Dimitris Papachristos; Dimitrios Loukatos; Konstantinos Arvanitis. Computational Thinking and STEM in Agriculture Vocational Training: A Case Study in a Greek Vocational Education Institution. European Journal of Investigation in Health, Psychology and Education 2021, 11, 230 -250.

AMA Style

Eleftherios Chondrogiannis, Eleni Symeonaki, Dimitris Papachristos, Dimitrios Loukatos, Konstantinos Arvanitis. Computational Thinking and STEM in Agriculture Vocational Training: A Case Study in a Greek Vocational Education Institution. European Journal of Investigation in Health, Psychology and Education. 2021; 11 (1):230-250.

Chicago/Turabian Style

Eleftherios Chondrogiannis; Eleni Symeonaki; Dimitris Papachristos; Dimitrios Loukatos; Konstantinos Arvanitis. 2021. "Computational Thinking and STEM in Agriculture Vocational Training: A Case Study in a Greek Vocational Education Institution." European Journal of Investigation in Health, Psychology and Education 11, no. 1: 230-250.

Journal article
Published: 23 January 2020 in Applied Sciences
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The adoption of Precision Farming (PF) practices involving ubiquitous computing advancements and conceptual innovations of “smart” agricultural production toward Agriculture 4.0 is a significant factor for the benefit of sustainable growth. In this context, the dynamic integration of PF facility systems into the Internet of Things (IoT) represents an excessive challenge considering the large amount of heterogeneous raw data acquired in agricultural environments by Wireless Sensor and Actuator Networks (WSANs). This paper focuses on the issue of facilitating the management, process, and exchange of the numerous and diverse data points generated in multiple PF environments by introducing a framework of a cloud-based context-aware middleware solution as part of a responsive, adaptive, and service-oriented IoT integrated system. More particularly, the paper presents in detail a layered hierarchical structure according to which all functional elements of the system cope with context, while the context awareness operation is accomplished into a cloud-based distributed middleware component that is the core of the entire system acting as a Decision Support System (DSS). Furthermore, as proof of concept, the functionality of the proposed system is studied in real conditions where some evaluation results regarding its performance are quoted.

ACS Style

Eleni Symeonaki; Konstantinos Arvanitis; Dimitrios Piromalis. A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0. Applied Sciences 2020, 10, 813 .

AMA Style

Eleni Symeonaki, Konstantinos Arvanitis, Dimitrios Piromalis. A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0. Applied Sciences. 2020; 10 (3):813.

Chicago/Turabian Style

Eleni Symeonaki; Konstantinos Arvanitis; Dimitrios Piromalis. 2020. "A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0." Applied Sciences 10, no. 3: 813.

Conference paper
Published: 24 August 2019 in Advances in Intelligent Systems and Computing
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Smart Agriculture is a considerably novel approach which attempts to encounter the climate change challenges as well as the increased global nutritional needs through the adoption of automated and ICT directed innovative technologies. Since the latest solutions for Smart Agriculture employ cloud services and advanced interconnectivity methods which consolidate the Internet of Things (IoT) technology features along with the ubiquity and mobility attributes granted by smart devices, the necessity of extreme customization, enabling the remote interaction of the objects, is creating the need for sophisticated interfaces. Moreover, in order to achieve the maximum possible penetration of IoT technologies in the agricultural sector it is essential to establish interaction methods among users, applications and systems through interfaces which are simple and friendly in end-usage. Herewith, in this paper an attempt is made to encounter this issue through the integration of Conversational User Interfaces (CUI) in controlling IoT devices for Smart Agriculture. The proposed approach introduces the design and indicative usage of a chatbot system which employs a messenger service platform environment in natural language so as to provide an efficient, secure and user-friendly framework of interaction with the IoT devices deployed for agricultural purposes.

ACS Style

Eleni Symeonaki; Konstantinos Arvanitis; Dimitrios Piromalis; Michail Papoutsidakis. Conversational User Interface Integration in Controlling IoT Devices Applied to Smart Agriculture: Analysis of a Chatbot System Design. Advances in Intelligent Systems and Computing 2019, 1071 -1088.

AMA Style

Eleni Symeonaki, Konstantinos Arvanitis, Dimitrios Piromalis, Michail Papoutsidakis. Conversational User Interface Integration in Controlling IoT Devices Applied to Smart Agriculture: Analysis of a Chatbot System Design. Advances in Intelligent Systems and Computing. 2019; ():1071-1088.

Chicago/Turabian Style

Eleni Symeonaki; Konstantinos Arvanitis; Dimitrios Piromalis; Michail Papoutsidakis. 2019. "Conversational User Interface Integration in Controlling IoT Devices Applied to Smart Agriculture: Analysis of a Chatbot System Design." Advances in Intelligent Systems and Computing , no. : 1071-1088.

Review
Published: 17 January 2019 in Intensified Land and Water Use
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Climate-smart agriculture is an approach for guiding actions required to make agricultural activities more productive and sustainable with regard to resource sharing, cost saving, and efficient agro-system construction. Agricultural informatization, through the adoption of new technological trends such as cloud computing and Internet of Things (IoT), is an extensive prospect to realize sophisticated applications aiming in the development of services in rural areas for the benefit of climate-smart agriculture. Especially the integration of cloud computing and IoT technologies for applications in agriculture, through the automation and digital management of the entire agricultural production and food chain, is an innovative research field of significant concern. In this paper an attempt is made to survey the technological background of these technologies, as well as to review the main trends and identify the challenges regarding the adoption of cloud-based IoT applications in the agricultural sector for the benefit of sustainability in climate-smart agriculture.

ACS Style

Eleni G. Symeonaki; Konstantinos G. Arvanitis; Dimitrios D. Piromalis. Cloud Computing for IoT Applications in Climate-Smart Agriculture: A Review on the Trends and Challenges Toward Sustainability. Intensified Land and Water Use 2019, 147 -167.

AMA Style

Eleni G. Symeonaki, Konstantinos G. Arvanitis, Dimitrios D. Piromalis. Cloud Computing for IoT Applications in Climate-Smart Agriculture: A Review on the Trends and Challenges Toward Sustainability. Intensified Land and Water Use. 2019; ():147-167.

Chicago/Turabian Style

Eleni G. Symeonaki; Konstantinos G. Arvanitis; Dimitrios D. Piromalis. 2019. "Cloud Computing for IoT Applications in Climate-Smart Agriculture: A Review on the Trends and Challenges Toward Sustainability." Intensified Land and Water Use , no. : 147-167.