Image Processing Technology in Agriculture

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 27

Special Issue Editors


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Guest Editor
Department of Agricultural Engineering, Technical University of Cartagena, 30202 Cartagena, Murcia, Spain
Interests: water resources management; irrigation; energy efficiency; smart agriculture; agriculture automation and control; computers and electronics in agriculture
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Aerospace Engineering and Fluid Mechanics, University of Seville, 41092 Seville, Spain
Interests: computers and electronics in agriculture, computer vision; image processing in agriculture; pattern recognition; smart agriculture; agriculture automation and control; big data; neural networks; internet of things (IoT); industrial design in agriculture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, "Image Processing Technology in Agriculture", aims to showcase the latest advancements and research in applying image processing technologies within the agricultural sector. It focuses on a broad spectrum of topics, including but not limited to, computers and electronics in agriculture, computer vision, smart agriculture innovations, agricultural automation and control systems, big data analytics, neural network applications, Internet of Things (IoT) integrations, and industrial design applications in agriculture. Additionally, it covers water resources management, irrigation solutions, and energy efficiency improvements. Through a rigorous peer-review process, this issue will gather innovative studies and methodologies that demonstrate how image processing and related technologies can optimize agricultural practices, enhance crop monitoring and management, and contribute to the sustainability and efficiency of the agricultural industry.

Prof. Dr. José Miguel Molina Martínez
Dr. Antonio Madueño Luna
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. Applied Sciences 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 2400 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

  • image processing in agriculture
  • computer vision
  • smart agriculture
  • agricultural automation
  • big data in agriculture
  • neural networks
  • Internet of Things (IoT)
  • industrial design in agriculture
  • water resources management
  • irrigation technology
  • energy efficiency

Published Papers

This special issue is now open for submission.
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