Special Issue "APRAS-AI-Empowered Self-Adaptive Federation of Platforms for Efficient Economic Collaboration in Rural Areas"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 June 2021).
Special Issue Editors
Interests: agricultural mechanization; energy; IoT; precision farming and machine learning
Special Issues and Collections in MDPI journals
Interests: agricultural mechanization; energy; IoT; precision farming and machine learning
Special Issues and Collections in MDPI journals
Interests: precision agriculture; farm machinery; information systems
Special Issues and Collections in MDPI journals
Interests: precision livestock management services; sensors; IoT; cloud systems
Special Issues and Collections in MDPI journals
Interests: biobased and energy supply chains; circular economy supply chains; reverse supply chain design and optimization; sustainability assessment and performance improvement in multi-tier supply chains; digitally enabled supply chains; decision support systems
Special Issues and Collections in MDPI journals
Interests: research & education, network planning; project management; research and development and innovation projects; IoT; smart platforms
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) provides a unique opportunity for technology to transform many industries, including the food and agriculture sector. The agrifood sector has a rather low level of uptake of information and communications technology (ICT) and a relatively high cost of data capture. The stack of technologies in IoT includes sensors, actuators, drones, navigation systems, cloud-based data services, and analytics delivering a variety of decision support tools and could significantly change this sector. The potential offered by the integration of new digital technologies (engineering, mechatronics, IT, logistics, communication, etc.) is still largely unexpressed in Europe. This is largely due to the presence of significant fixed costs, typical of network technology systems, which need careful upstream programming to be efficiently distributed among the various stakeholders. Another important element which limits rapid and wide diffusion is represented by the need to simultaneously integrate and develop different areas of knowledge. In fact, both IoT platforms and precision mechanics and remote sensing application technologies require calibration and adaptation to production conditions, which can only be achieved through a combination of organized knowledge and field experimentation.
Dr. Andrea Colantoni
Prof. Filippo Gambella
Prof. Spyros Fountas
Prof. Ivan Andonovic
Prof. Athanasios Rentizelas
Eng. Marcella Ancis
Guest Editors
Manuscript Submission Information
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Keywords
- Internet of Things
- Precisione farming
- Machine learning
- Smart platforms
- Sustainability of resources
- Optimizing the post-harvest management of the products
- Traceability of the products
- Monitoring the optimization in terms of safety and costs of all the processes that underlie an agro-food chain
- Intelligent marketplaces