Virtual-Physical Architectures and Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (1 May 2023) | Viewed by 2239
Special Issue Editor
2. Department of Computer Systems, Paisii Hilendarski University of Plovdiv, 4000 Plovdiv, Bulgaria
Interests: AI; intelligent agents; virtual–physical spaces; semantic modelling; smart agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Providing information systems with the ability to understand, perceive, and take into account the surrounding physical world opens up new broader perspectives for their widespread and effective use. AI, enhanced with technologies such as IoT, Block chain, Cyber-security, and Big Data, is a suitable paradigm for developing infrastructures and systems that integrate virtual and the physical worlds.
The main challenge for the implementation of virtual–physical systems is the virtualization of physical things. The components of such systems are usually autonomous, proactive, reactive, and social, and they are deployed at the edge, fog, and cloud levels, providing opportunities for global decision-making in the virtual world based on information received from the physical world. At the same time, "lowering" the intelligence of systems down to the physical world provides an opportunity to make local decisions without the need for additional traffic in the communication network.
For many applications, taking into account the state of the physical world around us is important. This is especially true for domains such as agriculture and the environment. In recent years, enhanced AI has increasingly been used to monitor crop vegetation, forecast yields, detect diseases, record soil content, effectively load the environment with pesticides, and use water resources efficiently. Crop monitoring data automatically collected by sensors or satellites can be processed continuously by AI applications, and, in the event of anomaly detection, recommend immediate action to address these issues.
Therefore, the purpose of this Special Issue is to present the latest developments in virtual–physical architectures and its applications mainly for (but not limited to) smart agriculture. Investigators in the field are invited to contribute with their original, unpublished works. Both research and review papers are welcome.
Prof. Dr. Stanimir Stoyanov
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- virtual-physical architectures and applications
- artificial intelligence
- smart agriculture
- knowledge-based systems
