Internet of Things and Wireless Sensor Networks for Smart Vegetable Growing

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".

Deadline for manuscript submissions: 25 February 2025 | Viewed by 205

Special Issue Editors


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Guest Editor
Faculty of Еlectrical Engineering, Electronics and Automation, University of Ruse, 7004 Ruse, Bulgaria
Interests: internet of things (IoT); sensors; electronics; information and communication technologies (ICTs); data analysis; deep learning; classification; clustering analysis; precision agriculture

E-Mail Website
Guest Editor
Department of Agricultural Machinery, Agrarian and Industrial Faculty, University of Ruse “Angel Kanchev”, 7004 Ruse, Bulgaria
Interests: modern agriculture technologies; smart greenhouses; smart vegetable growing; crop monitoring; precision farming; farm automation; remote monitoring; data-driven farming
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Special Issue Information

Dear Colleagues,

The advent of the Internet of Things (IoT) and wireless sensor networks (WSNs) has revolutionized modern agriculture, paving the way for smart vegetable growing. These technologies enable the precise monitoring and control of various environmental factors such as temperature, air humidity, soil moisture, and light levels. By integrating IoT and WSNs, farmers can access real-time data and automate critical processes, leading to enhanced crop yields, resource efficiency, and sustainability.

This Special Issue will explore the application of state-of-the-art technologies to allow smart vegetable growing, which includes, but is not limited to, indoor and outdoor crop production, smart irrigation and fertilization, crop yield monitoring and prediction, germination monitoring, field and zone management, crop protection, etc. We encourage the submission of original research articles and reviews involving the following topics:

  • Internet of Things and wireless sensor networks for real-time data collection;
  • Case studies related to the design and development of smart IoT-based greenhouse and aquaponic systems;
  • Different approaches for IoT data analysis, such as classification, clustering analysis, and deep learning;
  • Interaction between IoT and other technologies for ensuring efficient vegetable growing;
  • Robotics in vegetable crop production;
  • IoT-based irrigation, fertilization, and pesticide delivery systems;
  • Cloud computing and web and mobile decision support systems.

Dr. Boris Evstatiev
Dr. Atanas Atanasov
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. Agriculture 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 2600 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

  • sensors
  • internet of things (IoT)
  • wireless sensor networks (WSNs)
  • machine learning
  • cloud computing
  • information systems
  • robotics
  • precision agriculture

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