Logo des Repositoriums

Auflistung nach Autor:in "Akyol, Ali"

1 - 5 von 5
  • 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.
  • Textdokument
    Entwicklung eines neuartigen Umweltportals mit Bürger_innenforschung zur Beseitigung von Barrieren an Umweltinformationen
    (INFORMATIK 2021, 2021) Akyol, Ali; Marx Gómez, Jorge
    Umwelt und Klimaschutz nehmen eine immer stärkere Rolle in der Gesellschaft ein. Es gibt viele Möglichkeiten, sich für den Umwelt- und Klimaschutz einzusetzen, allerdings wissen viele Bürger_innen nicht, wie sie dabei vorgehen wollen und besitzen zu wenig Informationen über ihre Umwelt, um eine Veränderung herbeirufen zu können. Durch die sich verschärfende Gesetzgebung zu Umweltinformationen sind Unternehmen und Kommunen aufgefordert, Umweltinformationen vorzuhalten. Die Bereitstellung der Umweltinformationen bringt Unternehmen und Kommunen in eine Situation der Ungewissheit, da diese nicht wissen, ob die bereitgestellten Informationen auch den Anforderungen der Bürger_innen gerecht werden. Über die Bürger_innenbedarfe an Umweltinformationen ist nur wenig bekannt. Zudem bestehen Hürden zum Zugang zu Umweltinformationen, da bestehende Umweltportale für Laien schwer verständlich sind. dieser Beitrag bearbeitet die Identifikation der Bürger_innenbedarfe an Umweltinformationen.
  • Textdokument
    Flexible Software Support for Mobility Services
    (INFORMATIK 2017, 2017) Akyol, Ali; Halberstadt, Jantje; Hebig, Kimberly; Jelschen, Jan; Winter, Andreas; Sandau, Alexander; Gómez, Jorge Marx
    Demographic change and growing urbanization are essential reasons for the increasing demand for mobility in rural areas in Germany. Municipalities in sparsely populated counties are confronted with the problem of providing a basic supply of public mobility services. Especially for rural areas, established public transport means have to be complemented by additional, new, and innovative mobility services. NEMo (Sustainable satisfaction of mobility demands in rural regions) pursues the development of sustainable and innovative mobility services based on tailored business models for rural areas. Traveler information systems are enhanced to handle a range of active and passive mobility services in a very flexible way. Within this paper, three flexible cases are demonstrated. The SENSEI framework for software evolution provides improved software support by adding and modifying capabilities of the existing services to re-orchestrate and re-implement mobility services.
  • Konferenzbeitrag
    Living lab research project "5G Smart Country" - Use of 5G technology in precision agriculture exemplified by site-specific fertilization
    (EnviroInfo 2022, 2022) Bhatti, Moid Riaz; Akyol, Ali; Rosigkeit, Henrik; Matzke, Linda; Grabenhorst, Isabel; Gómez, Jorge Marx
    The research project "5G Smart Country" aims at developing ideas for the development and testing of 5G applications for agriculture and forestry under real conditions. Agricultural and forestry data are collected from a wide variety of sources, such as satellites, drones, and robots with special sensors. Artificial intelligence (AI) and data analytics algorithms help make the required decisions, particularly for automatic differentiation between crops and weeds for mechanical weed control, demand-driven fertilization (variable rate application, VRA)—also by means of small-scale application (pointed fertilizing)—automated tracking of wildlife populations, real-time assessment of harvest (smart harvesting), forest inventory maintenance, and targeted logging. Here we present a system architecture and software model for digital crop management and show how multispectral analysis is used to develop vegetation indices to conduct VRA.