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Special Issue "Sensors and Artificial Intelligence for Wildlife Conservation"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".

Deadline for manuscript submissions: 16 June 2021.

Special Issue Editors

Dr. Paul Fergus
Website
Guest Editor
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Interests: artificial intelligence; machine learning; deep learning; object detection; conservation; e-health
Dr. Carl Chalmers
Website
Guest Editor
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Interests: artificial intelligence; machine learning; deep learning; computer vision; technology in conservation and e-health
Prof. Dr. Serge Wich
Website
Guest Editor
School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool L33AF, United Kingdom
Interests: great apes; conservation; drones
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a new Special Issue on the use of Sensors and Artificial Intelligence in Wildlife Conservation. We are soliciting submissions for both review and original research articles related to the novel use of data obtained from sensors (camera traps, cameras, microphones, unoccupied vehicles (aerial, terrestrial, and aquatic)) and any other sensor platforms you think would support wildlife conservation) combined with AI, to manage and protect wildlife globally. The Special Issue is open to contributions ranging from systems that combat poaching and protect wildlife, support wildlife management and conservation, enable animal counting and tracking, monitor and protect the environment, support biodiversity assessments, monitor forest health and quality, as well as novel approaches to sensor fusion for remote sensing. Original contributions that look at integrated sensor-based technologies and wide area communications across remote sensing platforms (land, sea, air- and spaceborne) are also encouraged.  

Dr. Paul Fergus
Dr. Carl Chalmers
Prof. Dr. Serge Wich
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. Sensors is an international peer-reviewed open access semimonthly 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 2200 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

  • Multispectral remote sensing
  • Hyperspectral remote sensing
  • LiDAR
  • Sensor fusion
  • Land, sea, air, space-based monitoring
  • Machine learning
  • Convolutional neural networks (1D, 2D, 3D, etc.)
  • High performance inferencing
  • Time series analysis
  • Poaching
  • Wildlife conservation
  • Animal counting
  • Forest monitoring
  • Land use/cover change
  • Environment monitoring
  • Robotics

Published Papers

This special issue is now open for submission.
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