计算机 | CCF C类 | SCI期刊专刊信息3条

Call4Papers · 公众号 · 科研 · 2020-12-15 09:37

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The growth of the Internet of Things in digital twins is pushing its way into all fields, including smart agriculture. It provides a better understanding of the situation in farms and areas based on process-related agriculture, such as irrigation, use of fertilizers and pestisides etc. for obtaining a more comprehensive view of the overall value chain in food production with strategic decisions. The significance of the IoT unplugs data collection and uses standard and low-cost worldwide Internet and Cloud Computing technologies as a core part of data transfer to resolve the challenges in smart farming.

The use of digital twins with IoT in smart agriculture ensures several benefits such as productivity growth, food quality and pverall procuction efficiency improvement. Besides, this issue considers the utilization of unmanned aerial vehicles for crop monitoring and optimization and their contribution towards developing digital twins of agricultural processes. This topic illustrates the state-of-the-art Internet of Things based frameworks and architectures used in smart agriculture.

This Special Issue invites reports on high quality research with innovative approaches and solutions for digital twins with IoT assisted smart agriculture management.

The topics of interest for the special issue include:

Digital twins integrated with IoT for smart farming

Data-driven scenarios based on Digital twin leveraging AI;

Cloud, edge, and fog computing for smart agriculture;

Security for Digital twin in smart farming

Cyberphysical systems (CPS) and modelling for smart agriculture;

Data protection by user authentication and data encryption in smart agriculture.

Metrics and modeling for sensing in smart agriculture;

Farm services, applications and processes oriented towards agri-food systems;

IoT Platforms for applications in smart agriculture;

Remote sensing from satellites or crewless aerial vehicles;

Artificial intelligence and machine learning for smart agriculture

Implementation and prototypes of connected farms and farming in the cloud

Data-aware networking in smart agriculture;

Big data techniques for IoT-based smart agriculture

Management of IoT-based smart agriculture applications and services.

Increasing environmental awareness in agriculture;