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Sensor Network in Agriculture
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Sensor Network in Agriculture

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

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 8429

Special Issue Editors

Dr. Christophe De Vaulx

E-Mail Website
Guest Editor
Université Clermont-Auvergne, CNRS, Mines de Saint-Étienne, Clermont-Auvergne-INP, LIMOS, 63000 Clermont-Ferrand, France
Interests: cyber-physical systems; internet of things; wireless sensors networks; embedded systems; fault tolerance; wireless communication protocols
Dr. Jean-Pierre Chanet

E-Mail Website
Guest Editor
Université Clermont Auvergne, INRAE, UR TSCF, 63172 Aubière, France
Interests: IoT; wireless sensor network; data integration; agriculture; ontologies
Dr. François PINET

E-Mail Website
Guest Editor
Université Clermont Auvergne, INRAE, UR TSCF, 63172 Aubière, France
Interests: data quality; software engineering and conceptual modeling applied to agricultural and environmental systems; information management; database; ontologies

Special Issue Information

Dear Colleagues,

Agriculture has entered the digital age and data is now at the core of all decision-making processes. Sensor networks and more generally the Internet of Things are key elements of this digital revolution. The deployment of such solutions raises questions of telecommunication, energy management, security and data integration and quality.

This special issue is open to these issues of in situ data acquisition via sensor networks as well as the integration processes of data from these networks. The implementation of sensor networks in greenhouses, or for livestock are outside the scope of this issue: we focus on outdoor crop production.

Dr. Christophe De Vaulx
Dr. Jean-Pierre Chanet
Dr. François PINET
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. 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 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

  • wireless sensor network
  • IoT
  • data integration
  • telecommunication
  • protocol
  • data quality
  • energy

Published Papers (3 papers)

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Research

15 pages, 6400 KiB  
Article
Development of a LoRaWAN IoT Node with Ion-Selective Electrode Soil Nitrate Sensors for Precision Agriculture
by Noel Bristow, Saravanan Rengaraj, David R. Chadwick, Jeff Kettle and Davey L. Jones
Sensors 2022, 22(23), 9100; https://doi.org/10.3390/s22239100 - 23 Nov 2022
Cited by 5 | Viewed by 2827
Abstract
Crop productivity is highly dependent on the availability of soluble nitrogen (N), e.g. nitrate, in soil. When N levels are low, fertilisers are applied to replenish the soil’s reserves. Typically the timing of these applications is based on paper-based guidance and sensor-based measurements [...] Read more.
Crop productivity is highly dependent on the availability of soluble nitrogen (N), e.g. nitrate, in soil. When N levels are low, fertilisers are applied to replenish the soil’s reserves. Typically the timing of these applications is based on paper-based guidance and sensor-based measurements of canopy greenness, which provides an indirect measure of soil N status. However this approach often means that N fertiliser is applied inappropriately or too late, resulting in excess N being lost to the environment, or too little N to meet crop demand. To promote greater N use efficiency and improve agricultural sustainability, we developed an Internet of Things (IoT) approach for the real-time measurement of soil nitrate levels using ion-selective membrane sensors in combination with digital soil moisture probes. The node incorporates state-of-the-art IoT connectivity using a LoRaWAN transceiver. The sensing platform can transfer real-time data via a cloud-connected gateway for processing and storage. In summary, we present a validated soil sensor system for real-time monitoring of soil nitrate concentrations, which can support fertiliser management decisions, improve N use efficiency and reduce N losses to the environment. Full article
(This article belongs to the Special Issue Sensor Network in Agriculture)
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23 pages, 1930 KiB  
Article
SecIoTComm: An Actor-Based Model and Framework for Secure IoT Communication
by Kelechi Eze, Ahmed Abdelmoamen Ahmed and Cajetan Akujuobi
Sensors 2022, 22(19), 7313; https://doi.org/10.3390/s22197313 - 27 Sep 2022
Cited by 2 | Viewed by 1409
Abstract
Internet of Things (IoT) ecosystems are becoming increasingly ubiquitous and heterogeneous, adding extra layers of complexity to secure communication and resource allocation. IoT computing resources are often located at the network edge and distributed across many heterogeneous sensors, actuators, and controller devices. This [...] Read more.
Internet of Things (IoT) ecosystems are becoming increasingly ubiquitous and heterogeneous, adding extra layers of complexity to secure communication and resource allocation. IoT computing resources are often located at the network edge and distributed across many heterogeneous sensors, actuators, and controller devices. This makes it challenging to provide the proper security mechanisms to IoT ecosystems in terms of manageability and maintainability. In an IoT ecosystem, computational resources are naturally distributed and shareable among their constituency, which creates an opportunity to distribute heavy tasks to them. However, resource allocation in IoT requires secure and complex communication and coordination mechanisms, which existing ones do not adequately support. In this paper, we present Secure Actor-based Model for IoT Communication (SecIoTComm), a model for representing secure IoT communication. SecIoTComm aims to represent secure IoT communication properties and design and implement novel mechanisms to improve their programmability and performance. SecIoTComm separates the communication and computation concerns, achieving design modularity in building IoT ecosystems. First, this paper presents the syntax and operational semantics of SecIoTComm. Then, we present an IoT framework implementing the key concepts of the model. Finally, we evaluate the developed framework using various performance and scalability metrics. Full article
(This article belongs to the Special Issue Sensor Network in Agriculture)
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23 pages, 15982 KiB  
Article
A Low-Power IoT Device for Measuring Water Table Levels and Soil Moisture to Ease Increased Crop Yields
by Emiliano López, Carlos Vionnet, Pau Ferrer-Cid, Jose M. Barcelo-Ordinas, Jorge Garcia-Vidal, Guillermo Contini, Jorge Prodolliet and José Maiztegui
Sensors 2022, 22(18), 6840; https://doi.org/10.3390/s22186840 - 9 Sep 2022
Cited by 6 | Viewed by 3240
Abstract
The simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table levels can affect crop productivity. Furthermore, monitoring soil saturation [...] Read more.
The simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table levels can affect crop productivity. Furthermore, monitoring soil saturation and water table levels is essential for an early warning of extreme rainfall situations. However, the measurement of these parameters employing commercial instruments has certain disadvantages, with a high cost of purchase and maintenance. In addition, the handling of commercial devices makes it difficult to adapt them to the specific requirements of farmers or decision-makers. Open-source IoT hardware platforms are emerging as an attractive alternative to developing flexible and low-cost devices. This paper describes the design of a datalogger device based on open-source hardware platforms to register water table levels and soil moisture data for agronomic applications. The paper begins by describing energy-saving and wireless transmission techniques. Then, it summarizes the linear calibration of the phreatimeter sensor obtained with laboratory and field data. Finally, it shows how non-linear machine-learning techniques improve predictions over classical tools for the moisture sensor (SKU: SEN0193). Full article
(This article belongs to the Special Issue Sensor Network in Agriculture)
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