Intelligent Cyberphysical Systems for Agricultural Applications
A special issue of AgriEngineering (ISSN 2624-7402).
Deadline for manuscript submissions: closed (10 November 2020) | Viewed by 1088
Special Issue Editors
Interests: precision agriculture; machine/deep learning; agricultural robotics; machine-vision
Interests: precision agriculture and forestry; cyberphysical systems; remote and proximal sensing; machine learning; computer vision and robotics
Interests: precision livestock farming; animal housing and environment management; animal behavior and welfare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agriculture is facing tremendous challenges from a rapidly growing global population, severe climate change, unsustainable agricultural practices, and shortfall in usable natural resources, such as arable land and water. Cyberphysical systems (CPS) consisting of computational and physical elements provide the foundation of crucial infrastructure and smart services that support precision agriculture. Ongoing advances in sensing, computer vision, robotics, internet of things (IoT), wireless communication, edge/cloud computing, and artificial intelligence (e.g., deep learning) improve capability, adaptability, scalability, resiliency, safety, security, and usability of CPS for challenging agricultural applications. In particular, recent developments in high throughput plant phenotyping, automated animal behavior and health monitoring, and smart agriculture provide automation and data-driven decision-making for both agricultural production and research, paving the way for the next agricultural revolution.
This Special Issue is devoted to research studies that cover the development and utilization of CPS for agricultural applications. Preferred research topics include (but are not limited to) high throughput plant/animal phenotyping, agricultural robotics, deep-learning based data analytics, and IoT-based agricultural applications.
Prof. Dr. Yu Jiang
Prof. Dr. Yin Bao
Prof. Dr. Kai Liu
Guest Editors
Manuscript Submission Information
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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. AgriEngineering 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
- Cyber-physical systems
- Agricultural robotics
- Artificial intelligence
- Image processing
- Plant phenomics
- Crop production
- Precision livestock farming
- Expert systems for animal production
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