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P342 - EnviroInfo 2023

https://dl.gi.de/handle/20.500.12116/43251
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Auflistung P342 - EnviroInfo 2023 nach Autor:in "Akyol, Ali"

1 - 2 von 2
  • Konferenzbeitrag
    Determination of Citizen Groups and Added Value for a Daily-Integrated Environmental Information Portal
    (EnviroInfo 2023, 2023) Akyol, Ali; Dorkaev, Eugenia; Gómez, Jorge Marx
    Environmental and climate protection are becoming increasingly important in society. Despite the advancement of digitization in recent years, the publicly available environmental information portals (EIP) in Germany are not technically up-to-date and fall short of expectations. A thorough investigation of requirements and citizen groups is essential for the development of a novel environmental information portal. This work deals with the identification of the requirements and various citizen groups, especially the general public. Based on these findings, a concept for a tailored environmental information portal is developed. The first chapter, the introduction, addresses the motivation, the problem statement, and the research questions. Subsequently, the current state of research on environmental information and environmental information portals is examined. In the third chapter, the results of survey studies on the identification of citizen groups and their requirements are discussed. Based on this, a concept of a demand-driven environmental information portal tailored to the identified citizen groups is presented. In the concluding part, a summary and an outlook on further research areas of this work are provided.
  • Konferenzbeitrag
    Development of a smart farming dashboard based of 5G mobile Data
    (EnviroInfo 2023, 2023) Akyol, Ali; Chahin, Rami; Dillschneider, Eva-Marie; Gerloff, Lars; Grabenhorst, Isabel; Gómez, Jorge Marx; Patil, Akhil; Schattenberg, Jan; Sgraja, Marie; Walther, Sören; Weide, Julian
    This work in progress paper is written as a short description mainly of the backend of project 5G, which is in the field of smart farming. The project focuses on using different technologies and machines for weed management. This work in progress paper highlights the need for efficient weed management. It discusses the problems which are associated with weed management and it raises questions that need to be addressed in this domain. Moreover, the topic of using weed management 5G, UAV (unmanned aerial vehicle) and field robotics in agricultural and farming services is an important topic at present. Besides, the work in progress paper shows possible technical concepts and processes which can be implemented into smart farming to increase its efficiency. This paper discusses special methods, which can be used in weed management by using AI (artificial intelligence). In addition to the project description, the paper includes an evaluation of the current state of the research and an outlook of potential future research.