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IoT Technologies and the Agricultural Value Chain 2023

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

Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 1293

Special Issue Editors


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Guest Editor
System Engineering and Automatic Control, Department of Informatics, University of Almería, 04120 Almería, Spain
Interests: modeling; automatic control; and robotics techniques applied to agriculture; safe energy; building comfort
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
System Engineering and Automatic Control, Department of Informatics, University of Almería, 04120 Almería, Spain
Interests: control; greenhouse; modeling; climate; fertigation; CO2; Internet of Things; DSS; MaaS
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Economy and Business, University of Almería, 04120 Almería, Spain
Interests: sustainable agriculture; business models; change management; organisations; digitalisation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Food and agribusiness form a $5 trillion global industry with continuous growth (McKinsey). In the EU, around 11 million farms produce agricultural products for processing by about 300,000 enterprises in the food and drink industry. Food processors sell their products through the 2.8 million enterprises within the food distribution and food service industry, which deliver food to the EU’s 500 million consumers (EU Eurostat). Agriculture, food, and related industries contributed $992 billion to U.S. gross domestic product (GDP) in 2015, a 5.5-percent share (USDA).

Large retail organizations are increasing their requirements concerning food safety and sustainability. Exporters are affected by the increasing supply chain transparency and traceability required by retailers and wholesalers. In addition, consumers increasingly want more information in relation to food they consume. At the same time, sustainable agriculture must be also part of this approach. Agricultural systems are characterized by a demand for intensive and optimal use of land, water, energy and inputs, increasing productivity, and improved product quality, all the while maintaining competitiveness and market value within a sustainability framework.

Agrifood value chains are complex systems, involving physical, chemical, and biological processes, taking place simultaneously, reacting to environmental factors with different response times and patterns, and characterized by multiple interactions, which have to be controlled to obtain the best results for the grower and all actors in the agricultural value chain.

Technology and data sharing can be essential tools in seeking solutions through the introduction of technology in each of the phases of the supply/value chain, creating relationships among the different steps based on transparency and product and process information. As well, through the mediation and use of publicly available data, it can leverage such agricultural data´s value and improve societal use.

IoT implementation presents some benefits to the different actors and activities along the supply and value chain in terms of improved resource use, less waste, better data access and sharing, synchronization, reduced storage and cost, and enhanced consumer information access. IoT allows the collection of information about all links in the value chain, connecting systems so as to allow an integrated, multidimensional view of farming and agrifood activities, enabling deeper understanding on how the whole ecosystem works. Intensive use of ICT involving a large amount of data, intelligent and soft or virtual sensors, control loops, communication networks, storage, cloud services, and optimization techniques help to improve all value chain links. Moreover, IoT systems ideally should be based on flexible and efficient production focusing on important aspects like social and environmental added value, through the improvement of air, soil, water and energy efficiency and quality and overall social–economic–environmental sustainability.

The food and farm supply chain is increasingly complex as it involves numerous activities in growing systems, production planning, handling, logistics, traceability, and markets. As such, new business models and value propositions are necessary to reflect and leverage improved processes and products and the overall transformation of agri-food activities through IoT.

Papers included in this Special Issue will address the following areas:

  • IoT systems development;
  • Precision farming;
  • System integration and interoperability;
  • Data models;
  • IoT networks;
  • Intelligent sensors;
  • IoT sensors;
  • Visualization interfaces;
  • Decision support systems and data-driven decisions;
  • Virtual–soft sensors;
  • IoT-based business models;
  • Data sharing;
  • IoT-based control systems;
  • Robotics;

Prof. Dr. Francisco Rodríguez
Dr. Jorge Antonio Sánchez-Molina
Dr. Cynthia Giagnocavo
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

  • Internet of Things
  • Precision farming
  • DSS
  • Modeling
  • Soft sensors
  • IoT business models
  • Interoperability
  • Data sharing
  • Data models
  • Automatic control
  • Intelligent sensors

Published Papers (1 paper)

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Research

17 pages, 1470 KiB  
Article
A Solution to Prevent and Minimize the Consequences of Accidents with Farm Tractors in the Context of Mountainous Regions with Low Population Density
by Rui Alves and Paulo Matos
Sensors 2023, 23(18), 7811; https://doi.org/10.3390/s23187811 - 11 Sep 2023
Viewed by 724
Abstract
Farm tractors have become a key part of daily routine agriculture, converting complex and time-consuming tasks into tasks that are easier to perform and less dependent on human labor, contributing directly to increasing the economic value generated by this activity sector, either by [...] Read more.
Farm tractors have become a key part of daily routine agriculture, converting complex and time-consuming tasks into tasks that are easier to perform and less dependent on human labor, contributing directly to increasing the economic value generated by this activity sector, either by increasing the productivity or by making certain agricultural crops viable, which otherwise would not be sustainable. However, despite all the advantages, accidents with this type of equipment are common, often with critical and sometimes fatal consequences. The evolution of safety requirements of these machines has occurred at a good level; however, a significant part of the agricultural tractors in use are older models that do not have such solutions. Even in the new models, which contain such solutions, these are not always correctly used, and it is even common that they are turned off or simply not used at all. It is therefore natural that accidents continue to occur, a situation that is aggravated by other factors. Lack of situational awareness of the operators, which can result from advanced age, inadequate training, reduced sensitivity/respect for safety rules, or working on irregular terrain like mountainous areas, contribute to high-risk contexts that end in the loss of human life. The consequences of such accidents are clearly aggravated by the time it takes to assist the victims—either because accidents are simply not identified/reported immediately, or by the time it takes to locate and provide help to the victims. This is a scenario that is more common in mountainous regions and regions with low population density. The current paper, using NB-IoT, a set of sensors, and a web application, presents a conceptual toolset conceived to prevent accidents and minimize consequences (human and material) that can be applied to old and new farm tractors. The development was carried out taking the characterization of the farmers and the land in the region in which the authors’ research institution is located into account, which has the highest rate of fatal accidents with agricultural tractors in the country; it is a region of mountainous with a very low population density. Full article
(This article belongs to the Special Issue IoT Technologies and the Agricultural Value Chain 2023)
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