Special Issue "Intelligent Cyberphysical Systems for Agricultural Applications"

A special issue of AgriEngineering (ISSN 2624-7402).

Deadline for manuscript submissions: 10 November 2020.

Special Issue Editors

Prof. Dr. Yu Jiang
Website
Guest Editor
School of Integrative Plant Science, Horticulture Section, Cornell AgriTech, Cornell University, 301 Hedrick Hall, Cornell AgriTech, 635 West North Street, Geneva, NY 14456, USA
Interests: precision agriculture; machine/deep learning; agricultural robotics; machine-vision
Prof. Dr. Yin Bao
Website
Guest Editor
Biosystems Engineering Department, Auburn University
Interests: precision agriculture and forestry; cyberphysical systems; remote and proximal sensing; machine learning; computer vision and robotics
Prof. Dr. Kai Liu
Website
Guest Editor
Department of Infectious Diseases and Public Health, Jocky Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong
Interests: precision livestock farming; animal behavior and welfare; animal housing and environment management

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

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 papers will be 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. AgriEngineering is an international peer-reviewed open access quarterly 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 1000 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

Published Papers

This special issue is now open for submission.
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