📌📌📌The article 'Digital Art and the #Metaverse: Benefits and Challenges' discusses the benefits of the Metaverse for digital artists and the involvement of AI.
The article is available for open access: https://t.co/GLnQiBIXUV
Check out our latest publication on Reference Architecture Design for Developing Data Management systems in Smart Farming. For those interested in the progression of our research in this domain, you might find our earlier works in the following selected list of publications:
https://t.co/wO0Ej7mojM
This work builds upon our previous research in Data Analytics, IoT, and smart farming systems, offering a comprehensive strategy that addresses various challenges and leverages the latest technological advancements. For those interested in the progression of our research in this domain, you might find our earlier works in the following selected list of publications:
Krisnawijaya, N. N. K., Tekinerdogan, B., Catal, C., & van der Tol, R. (2024). Reference architecture design for developing data management systems in smart farming. Ecological Informatics, 81.
Ghaffarian, S., de Mey, Y., Valente, J., van der Voort, M., & Tekinerdogan, B. (2024). Deep learning for agricultural risk management: Achievements and challenges. In B. Tekinerdogan, M. Akşit, C. Catal, W. Hurst, & T. Alskaif (Eds.), Management and Engineering of Critical Infrastructures (pp. 307-333). Academic Press.
Krisnawijaya, N. N. K., Tekinerdogan, B., Catal, C., & van der Tol, R. (2023). Multi-Criteria decision analysis approach for selecting feasible data analytics platforms for precision farming. Computers and Electronics in Agriculture, 209.
Ryan, M., Isakhanyan, G., & Tekinerdogan, B. (2023). An interdisciplinary approach to artificial intelligence in agriculture. NJAS: Impact in Agricultural and Life Sciences, 95(1).
Tekinerdogan, B. (2023). Data Management in Precision Agriculture. In Encyclopedia of Smart Agriculture Technologies (Vol. 1, pp. 267-1). Springer, Cham.
Tekinerdogan, B. (2023). Software Ecosystems for Precision Agriculture. In Encyclopedia of Smart Agriculture Technologies. Springer, Cham.
Krisnawijaya, N. N. K., Tekinerdogan, B., Catal, C., & van der Tol, R. (2022). Data analytics platforms for agricultural systems: A systematic literature review. Computers and Electronics in Agriculture, 195.
Köksal, Ö., & Tekinerdogan, B. (2019). Architecture design approach for IoT-based farm management information systems. Precision Agric 20, 926–958.
Tummers, J., Kassahun, A., & Tekinerdogan, B. (2019). Obstacles and features of Farm Management Information Systems: A systematic literature review. Computers and Electronics in Agriculture, 157, 189-204.
Verdouw, C., Sundmaeker, H., Tekinerdogan, B., Conzon, D., & Montanaro, T. (2019). [Architecture framework of IoT-based food and farm systems: A multiple case study](https://t.co/sThyqtoiPw.
hashtag#precisionagriculture hashtag#smartfarming hashtag#iot hashtag#dataanalytics hashtag#referencearchitecture hashtag#systemsengineering
Our EU project MetaVision explores the role of the Metaverse and strategies for making art accessible to all, inspired by our paper 'Digital Art and the Metaverse: Benefits and Challenges'- https://t.co/YxsPrtgYzX @CasparKrampe
@Tarek_Skaif yeah it's a shocker ! But it's not new unfortunately. I was guest editor for a journal before ChatGPT3 came out and we had over 140 fake AI papers submitted within a week. Now I think it's just more obvious because of these text markers standing out.
@Tarek_Skaif That's pretty terrible - but until journals start properly rewarding or paying reviewers for their time, the review process will not improve.
I'm starting to feel like all those years I spent learning how to develop 3D models were a waste of time :D ...
Text prompt for AI-built 3D asset: 'make me a model in the style of a back to the future delorean'
After 11 years of driving 3 hours a day to/from work in England, I must admit that since moving to the Netherlands I find my 35 min cycle and boat commute just simply awesome!