@article{MTMT:34657821, title = {Use of LLM for SMEs, opportunities and challenges}, url = {https://m2.mtmt.hu/api/publication/34657821}, author = {Szilágyi, Róbert and Tóth, Mihály}, doi = {10.17700/jai.2023.14.2.703}, journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM}, journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS}, volume = {14}, unique-id = {34657821}, issn = {2061-862X}, abstract = {AI (Artificial Intelligence) and large language models such as GPT (Generative Pre-trained Transformer) have brought rapid and profound changes in the field of companies and the economy. These technologies offer new opportunities in automation, data-driven decision making, and customer service that can have a significant impact on companies' competitiveness and economic growth. At the same time, it is important to understand that the general application of GPT and AI alone does not guarantee a company's competitive advantage. There are many factors to consider, and the pros and cons must be weighed carefully. Ethical and legal issues such as data protection and non-discrimination are critical. In addition, adapting to technological development and a changing environment is key to long-term success. In this paper, the importance of corporate application of GPT and MI, advantages and disadvantages, ethical and legal aspects, challenges of regulation and development, as well as the importance of cooperation and training are reviewed. Pursuing reasonable and responsible use can enable companies and the economy to improve competitiveness while protecting society and the rights of individuals. The first part of this paper introduces the Generative Pre-Trained Transformer (GPT) and some key concepts related to ChatGPT. In the second part, the effects, opportunities, and limitations of GPT on businesses follow.}, keywords = {digitization; AI (Artificial Intelligence); LLM; ChatGPT}, year = {2023}, pages = {10-18}, orcid-numbers = {Szilágyi, Róbert/0000-0002-1783-6483} } @{MTMT:32791469, title = {Application Possibilities of IoT-based Management Systems in Agriculture}, url = {https://m2.mtmt.hu/api/publication/32791469}, author = {Tóth, Mihály and Felföldi, János and Várallyai, László and Szilágyi, Róbert}, booktitle = {Information and Communication Technologies for Agriculture : Theme II: Data}, doi = {10.1007/978-3-030-84148-5_4}, unique-id = {32791469}, abstract = {The optimization of agricultural production and business processes is a crucial task in order to fulfill the demand of the increasing population, to meet quality requirements, to reduce the environmental impact as well as to improve economic efficiency. The Industry 4.0 concept provides various methods in this regard, including data acquisition based on IoT (Internet of Things), or data analytics based on Big Data, to support the decision-making process of the management and the data requirement of process control methods. During preliminary research, several modular data acquisition systems, as well as management applications have been developed based on a production system to measure various environmental factors at multiple spatial points. Considering the experience gained from the testing sessions, there was a need for further development regarding the end-user perspective in order to substantiate the practical application. A comparative research was required, considering previous experience and the literature of data acquisition systems, used in agriculture. The comparison concerned an own iteration of a production system and other systems, developed by researchers of the field, to examine different options and directions. Considering three important factors, the focus was on the data acquisition systems, data management, and data utilization methods. The comparison begins with a quantitative bibliometric analysis, determining the field and characteristic connections using network and cluster analysis, considering the IoT concept as the central element. Subsequently, the progression of a system and its evaluation is presented, performed in a greenhouse. This iteration highly focuses on data management with the modification of the existing infrastructure by integrating the Hadoop ecosystem to achieve a standardized interface.}, keywords = {Mezőgazdaság; döntéstámogatás; big data; Internet of Things}, year = {2022}, pages = {77-102}, orcid-numbers = {Felföldi, János/0000-0002-3895-6636; Várallyai, László/0000-0002-0795-9527; Szilágyi, Róbert/0000-0002-1783-6483} } @inproceedings{MTMT:32596617, title = {Különböző takarmányok domolykó (Squalius cephalus) ivadék növekedésére gyakorolt hatásainak vizsgálata}, url = {https://m2.mtmt.hu/api/publication/32596617}, author = {Molnár, József and Várkonyi, Levente and Izsák, Tibor and Láng, Levente Zete and Bartucz, Tamás and Nagy, Borbála and Csenki, Zsolt Imre and Tóth, Mihály and Urbányi, Béla and Csorbai, Balázs}, booktitle = {Halászatfejlesztés 38}, unique-id = {32596617}, year = {2021}, pages = {84-87} } @article{MTMT:32542877, title = {Az IoT-koncepción alapuló egészségügyi eszközök fogyasztók közötti elterjedését befolyásoló faktorok vizsgálata}, url = {https://m2.mtmt.hu/api/publication/32542877}, author = {Tóth, Mihály and Szilágyi, Róbert}, doi = {10.22503/inftars.XXI.2021.3.4}, journal-iso = {INF TARSAD}, journal = {INFORMÁCIÓS TÁRSADALOM: TÁRSADALOMTUDOMÁNYI FOLYÓIRAT}, volume = {21}, unique-id = {32542877}, issn = {1587-8694}, abstract = {Napjainkban számos területen érezhetjük a digitalizáció pozitív hatását. Nincs ez máshogy az egészségügy területén sem, ahol az IoT-koncepció (Internet of Things) adatgyűjtéssel, illetve a Big Data koncepció adatkezeléssel kapcsolatos megoldásai hozzájárulnak az adatorientált, személyre szabott egészségügyi döntésekhez. Jelen kutatás célja a fogyasztók témakörrel kapcsolatos véleményének felmérése, illetve a technológiai megoldások diffúzióját befolyásoló faktorok meghatározása annak érdekében, hogy a kutatás folytatásaként az igényekhez illeszkedő hardver- és szoftverplatform kialakítására nyíljon lehetőség. Az elfogadottságot befolyásoló tényezők vizsgálata érdekében kérdőíves felmérés történt öt fő témakört érintően, beleértve a különböző eszközökről és szolgáltatásokról alkotott véleményt. Az általános változók mellett a UTAUT2-technológia elfogadásának és használatának kiegészített modellje került alkalmazásra, a területhez való alkalmazkodás érdekében. Az elemzés során strukturális egyenletek modellezése (PLS-SEM) zajlott, majd az egyes tényezők látens változókra gyakorolt hatása ordinális logisztikus regresszióval került górcső alá, ezzel vizsgálva a modell fejlesztésének lehetőségeit.}, keywords = {IoT; big data; UTAUT2; technológiai elfogadottság}, year = {2021}, pages = {67-108}, orcid-numbers = {Szilágyi, Róbert/0000-0002-1783-6483} } @article{MTMT:32077835, title = {Improving Food Consciousness - Opportunities of Smartphone Apps to Access Food Information}, url = {https://m2.mtmt.hu/api/publication/32077835}, author = {Botos, Szilvia and Tóth, Mihály and Szilágyi, Róbert}, doi = {10.17700/jai.2021.12.1.615}, journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM}, journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS}, volume = {12}, unique-id = {32077835}, issn = {2061-862X}, year = {2021}, pages = {1-12}, orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032; Szilágyi, Róbert/0000-0002-1783-6483} } @article{MTMT:31902195, title = {TERMÉKINFORMÁCIÓK SZEREPE AZ ÉLELMISZER-VÁLASZTÁSBAN - A DEBRECENI EGYETEM HALLGATÓINAK ATTITŰDVIZSGÁLATA ÉS A TUDATOS VÁSÁRLÁST TÁMOGATÓ APPLIKÁCIÓK LEHETŐSÉGEI}, url = {https://m2.mtmt.hu/api/publication/31902195}, author = {Botos, Szilvia and Bíró, Éva and Tóth, Mihály and Szilágyi, Róbert}, doi = {10.24365/ef.v62i1.615}, journal-iso = {EGÉSZSÉGFEJLESZTÉS}, journal = {EGÉSZSÉGFEJLESZTÉS}, volume = {62}, unique-id = {31902195}, issn = {1786-2434}, year = {2021}, eissn = {2498-6666}, pages = {4-16}, orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032; Bíró, Éva/0000-0002-0131-8147; Szilágyi, Róbert/0000-0002-1783-6483} } @article{MTMT:31394008, title = {Digitalized business processes – assessment and opportunities of Hungarian agri-food companies}, url = {https://m2.mtmt.hu/api/publication/31394008}, author = {Botos, Szilvia and Szilágyi, Róbert and Tóth, Mihály and Ráthonyi, Gergely Gábor and Felföldi, János}, doi = {10.17700/jai.2020.11.1.568}, journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM}, journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS}, volume = {11}, unique-id = {31394008}, issn = {2061-862X}, year = {2020}, pages = {34-44}, orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032; Szilágyi, Róbert/0000-0002-1783-6483; Ráthonyi, Gergely Gábor/0000-0002-1184-1660; Felföldi, János/0000-0002-3895-6636} } @article{MTMT:31365006, title = {Readiness for ICT Based B2C Information Flow – Case Study of the Hungarian Food Sector}, url = {https://m2.mtmt.hu/api/publication/31365006}, author = {Botos, Szilvia and Szilágyi, Róbert and Felföldi, János and Tóth, Mihály}, doi = {10.7160/aol.2020.120204}, journal-iso = {AGRIS ON-LINE PAPER ECONOM INFORM}, journal = {AGRIS ON-LINE PAPERS IN ECONOMICS AND INFORMATICS}, volume = {12}, unique-id = {31365006}, issn = {1804-1930}, year = {2020}, pages = {41-51}, orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032; Szilágyi, Róbert/0000-0002-1783-6483; Felföldi, János/0000-0002-3895-6636} } @misc{MTMT:31169278, title = {Az IoT eszközök alkalmazási lehetőségei az egészségmegőrzésben}, url = {https://m2.mtmt.hu/api/publication/31169278}, author = {Tóth, Mihály}, unique-id = {31169278}, year = {2019} } @article{MTMT:31154333, title = {Computer vision in agriculture, application development using open source tools and systems}, url = {https://m2.mtmt.hu/api/publication/31154333}, author = {Tóth, Mihály and Dér, Dániel and Botos, Szilvia and Szilágyi, Róbert}, doi = {10.17700/jai.2019.10.2.545}, journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM}, journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS}, volume = {10}, unique-id = {31154333}, issn = {2061-862X}, year = {2019}, pages = {37-47}, orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032; Szilágyi, Róbert/0000-0002-1783-6483} }