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UAVs in Sustainable Agriculture

Special Issue Information

Dear Colleagues,

The use of unmanned aerial vehicles (UAVs) was introduced in agriculture a few years back. Agricultural fields are complex entities in many Asian and African countries with small landholding. Recent advanced image processing techniques and improved efficiency have made UAVs the best option for small landholding crop and orchard management and decision making in real time. UAVs equipped with sensors can accurately and quickly obtain low-altitude remote sensing data, which allow precision management of agricultural production and help to develop modern and efficient sustainable agriculture.

This Special Issue on “UAV in Sustainable Agriculture” will mainly focus on topics related to the use of UAV for crop monitoring, including growth rate, LAI, soil and plant nutrition, detection of disease and pest, biomass and yield estimation, and image processing. Artificial Intelligence (AI)- and deep learning (DL)-based algorithms are encouraged.

Prof. Dr. Yubin Lan
Prof. Dr. Wenjiang Huang
Prof. Dr. Kyeong-Hwan Lee
Dr. Yali Zhang
Dr. Muhammad Naveed Tahir
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 submissions that pass pre-check are 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. Remote Sensing 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 2700 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

  • Precision agricultural aviation (PAA)
  • Unmanned aerial vehicle (UAV)
  • Sustainable agriculture
  • Artificial Intelligence (AI)
  • Deep learning (DL)
  • Digital agriculture
  • Agricultural information acquisition

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Remote Sens. - ISSN 2072-4292Creative Common CC BY license