Internet of Things for Smart Agriculture

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Big Data, Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 3597

Special Issue Editors


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Guest Editor
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Interests: wireless sensor and actuator networks; body area networks; internet of things
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Engineering, Middle East Technical University, Ankara 06800, Turkey
Interests: 5G security; high-performance mobile-cloud computing; cloud computing and IoT security; distributed systems; blockchain

Special Issue Information

Dear Colleagues,

Smart agriculture is able to produce high yields via the optimal use of resources and has become a must in today’s world due to the increasing population and the scarcity and cost of resources such as water, fuel, fertilizers, etc. The use of advanced technologies in agriculture is needed to balance food supplies and demand.

The Internet of Things (IoT), which enables seamless communication between physical devices and the broad Internet, makes it possible to create automated monitoring and decision-making systems for smart agriculture to reduce resource consumption and to decrease production costs. Although IoT-based models are very promising for smart agriculture, many details surrounding their development still need to be addressed to create power-efficient, low-cost, secure, and widely deployable solutions.

This Special Issue aims to bring together scholars from academia and industry to discuss and present the most recent research and findings on the use of IoT for smart agriculture.

Topics of primary interest include but are not limited to the following:

  • Deployment of sensors and IoT modules for smart agriculture;
  • Novel applications of IoT in smart agriculture;
  • Artificial Intelligence for smart agriculture;
  • Security and privacy in smart agriculture;
  • Energy harvesting and power management of IoT devices;
  • Reliability and accuracy of sensors in smart agriculture;
  • Connectivity and coverage;
  • Wireless sensor and actuator networks in smart agriculture;
  • Data fusion and aggregation;
  • Cloud/edge/fog computing in smart agriculture;
  • Modelling and performance evaluations;
  • Unmanned aerial vehicles (UAVs) in smart agriculture

Dr. Hossein Anisi
Dr. Pelin Angin
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. Journal of Sensor and Actuator Networks 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 2000 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

  • smart agriculture
  • internet of things
  • wireless sensor networks
  • power management
  • security
  • artificial intelligence

Published Papers (1 paper)

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Research

18 pages, 458 KiB  
Article
A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices
by Rogério P. dos Santos, Nuno Fachada, Marko Beko and Valderi R. Q. Leithardt
J. Sens. Actuator Netw. 2023, 12(2), 28; https://doi.org/10.3390/jsan12020028 - 24 Mar 2023
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Abstract
Technology plays a crucial role in the management of natural resources in agricultural production. Free and open-source software and sensor technology solutions have the potential to promote more sustainable agricultural production. The goal of this rapid review is to find exclusively free and [...] Read more.
Technology plays a crucial role in the management of natural resources in agricultural production. Free and open-source software and sensor technology solutions have the potential to promote more sustainable agricultural production. The goal of this rapid review is to find exclusively free and open-source software for precision agriculture, available in different electronic databases, with emphasis on their characteristics and application formats, aiming at promoting sustainable agricultural production. A thorough search of the Google Scholar, GitHub, and GitLab electronic databases was performed for this purpose. Studies reporting and/or repositories containing up-to-date software were considered for this review. The various software packages were evaluated based on their characteristics and application formats. The search identified a total of 21 free and open-source software packages designed specifically for precision agriculture. Most of the identified software was shown to be extensible and customizable, while taking into account factors such as transparency, speed, and security, although some limitations were observed in terms of repository management and source control. This rapid review suggests that free and open-source software and sensor technology solutions play an important role in the management of natural resources in sustainable agricultural production, and highlights the main technological approaches towards this goal. Finally, while this review performs a preliminary assessment of existing free and open source solutions, additional research is needed to evaluate their effectiveness and usability in different scenarios, as well as their relevance in terms of environmental and economic impact on agricultural production. Full article
(This article belongs to the Special Issue Internet of Things for Smart Agriculture)
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