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Special Issue "APRAS-AI-Empowered Self-Adaptive Federation of Platforms for Efficient Economic Collaboration in Rural Areas"

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

Deadline for manuscript submissions: 30 April 2022.

Special Issue Editors

Dr. Filippo Gambella
E-Mail Website
Guest Editor
Univeristy of Sassari
Interests: agricultural mechanization; energy; IoT; precision farming and machine learning
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Spyros Fountas
E-Mail Website
Guest Editor
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece
Interests: precision agriculture; farm machinery; information systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ivan Andonovic
E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, University of Strathclyde, Glasgow G1 1RD, UK
Interests: wireless sensors; machine learning; sensor system; agriculture
Special Issues, Collections and Topics in MDPI journals
Dr. Athanasios Rentizelas
E-Mail Website
Guest Editor
School of Mechanical Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, Athens, Greece
Interests: biobased and energy supply chains; circular economy supply chains; reverse supply chain design and optimization; sustainability assessment and performance improvement in multi-tier supply chains; digitally enabled supply chains; decision support systems
Special Issues, Collections and Topics in MDPI journals
Eng. Marcella Ancis
E-Mail Website
Guest Editor
Tiscali S.p.A. Research and Development
Interests: research & education, network planning; project management; research and development and innovation projects; IoT; smart platforms

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) provides a unique opportunity for technology to transform many industries, including the food and agriculture sector. The agrifood sector has a rather low level of uptake of information and communications technology (ICT) and a relatively high cost of data capture. The stack of technologies in IoT includes sensors, actuators, drones, navigation systems, cloud-based data services, and analytics delivering a variety of decision support tools and could significantly change this sector. The potential offered by the integration of new digital technologies (engineering, mechatronics, IT, logistics, communication, etc.) is still largely unexpressed in Europe. This is largely due to the presence of significant fixed costs, typical of network technology systems, which need careful upstream programming to be efficiently distributed among the various stakeholders. Another important element which limits rapid and wide diffusion is represented by the need to simultaneously integrate and develop different areas of knowledge. In fact, both IoT platforms and precision mechanics and remote sensing application technologies require calibration and adaptation to production conditions, which can only be achieved through a combination of organized knowledge and field experimentation.

Dr. Andrea Colantoni
Prof. Filippo Gambella
Prof. Spyros Fountas
Prof. Ivan Andonovic
Prof. Athanasios Rentizelas
Eng. Marcella Ancis
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 papers will be 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 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

  • Internet of Things
  • Precisione farming
  • Machine learning
  • Smart platforms
  • Sustainability of resources
  • Optimizing the post-harvest management of the products
  • Traceability of the products
  • Monitoring the optimization in terms of safety and costs of all the processes that underlie an agro-food chain
  • Intelligent marketplaces

Published Papers (3 papers)

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Research

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Article
In-Field Automatic Detection of Grape Bunches under a Totally Uncontrolled Environment
Sensors 2021, 21(11), 3908; https://0-doi-org.brum.beds.ac.uk/10.3390/s21113908 - 05 Jun 2021
Cited by 1 | Viewed by 1065
Abstract
An early estimation of the exact number of fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, and the size of harvest labor force. The current practice of yield estimation based on manual counting of fruits [...] Read more.
An early estimation of the exact number of fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, and the size of harvest labor force. The current practice of yield estimation based on manual counting of fruits or flowers by workers is a time consuming and expensive process and it is not feasible for large fields. Automatic yield estimation based on robotic agriculture provides a viable solution in this regard. In a typical image classification process, the task is not only to specify the presence or absence of a given object on a specific location, while counting how many objects are present in the scene. The success of these tasks largely depends on the availability of a large amount of training samples. This paper presents a detector of bunches of one fruit, grape, based on a deep convolutional neural network trained to detect vine bunches directly on the field. Experimental results show a 91% mean Average Precision. Full article
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Communication
Preliminary Investigation on Systems for the Preventive Diagnosis of Faults on Agricultural Operating Machines
Sensors 2021, 21(4), 1547; https://0-doi-org.brum.beds.ac.uk/10.3390/s21041547 - 23 Feb 2021
Cited by 4 | Viewed by 1028
Abstract
This paper aims to investigate failures induced by vibrations on machines, focusing on agricultural ones. The research on literature has brought to light a considerable amount of data on the driven vehicles and not much on the operating machines, including the ones that [...] Read more.
This paper aims to investigate failures induced by vibrations on machines, focusing on agricultural ones. The research on literature has brought to light a considerable amount of data on the driven vehicles and not much on the operating machines, including the ones that we looked for. For this reason, it was decided to direct a survey with the people who work with agricultural machinery every day: operators, sub-contractors, and producers. They were asked about the most frequent breakage, particularly in relation to the rotary harrow, the topic of this work. The questionnaire results showed the types of failures the harrow is most vulnerable to, indicating the times of failure and reparation and the need to set up a potentially useful preventive maintenance supporting system on these machines. Part of the work was then focused on the proposition of a method to investigate bearing failures in the rotary harrow, considering that these have been analyzed in the technical literature and in the survey as the most at-risk components. The proposed method in this work serves as a beginning for the development of a future on board sent-shore-based maintenance system for continuous monitoring of the bearing. Full article
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Review

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Review
Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture
Sensors 2021, 21(3), 956; https://0-doi-org.brum.beds.ac.uk/10.3390/s21030956 - 01 Feb 2021
Cited by 9 | Viewed by 1393
Abstract
New technologies for management, monitoring, and control of spatio-temporal crop variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors able to provide useful data for the improvement of management efficiency and the optimization of inputs. unmanned aerial systems (UASs) are [...] Read more.
New technologies for management, monitoring, and control of spatio-temporal crop variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors able to provide useful data for the improvement of management efficiency and the optimization of inputs. unmanned aerial systems (UASs) are the newest and most versatile tools, characterized by high precision and accuracy, flexibility, and low operating costs. The work aims at providing a complete overview of the application of UASs in precision viticulture, focusing on the different application purposes, the applied equipment, the potential of technologies combined with UASs for identifying vineyards’ variability. The review discusses the potential of UASs in viticulture by distinguishing five areas of application: rows segmentation and crop features detection techniques; vineyard variability monitoring; estimation of row area and volume; disease detection; vigor and prescription maps creation. Technological innovation and low purchase costs make UASs the core tools for decision support in the customary use by winegrowers. The ability of the systems to respond to the current demands for the acquisition of digital technologies in agricultural fields makes UASs a candidate to play an increasingly important role in future scenarios of viticulture application. Full article
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