Artificial Intelligence and IoT in Agriculture (AIoTA- EPIA2021)
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Thematic Track of 20th Conference on Artificial Intelligence (EPIA 2021)
The EPIA-2021 will take place on-line
http://www.appia.pt/epia2021/
Submission deadline: April 15, 2021
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Introduction
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In a nearby future the world population will rise significantly, reaching 8.5 billion by 2030 and 9.7 billion in 2050. The population increase together with current and new environmental requirements, demand new agriculture production methods. Artificial Intelligence (AI) and Internet of Things (IoT) play a crucial role in current and future production technologies. The global aim of this thematic track is to bring together researchers, companies, developers and users of both AI and IoT (AI&IoT) fields applied to solve smart agriculture farming and production problems.

Application domains for AI&IoT are wide-ranging, from smart buildings through health monitoring and wearable devices to agro-forestry predictive systems. The spectrum of IoT-specific devices, solutions and scientific approaches include: data acquisition by sensors and mobile devices; RF technologies used in data transmission and data collection in sensor networks; Verification and optimization techniques to help sensor networks to be maintained and operated; Big data and AI approaches provide predictive analytics and high-level correlations of data, all towards better decision support systems. This track covers the spectrum from theoretical results to concrete applications and solutions.
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Topics of Interest
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AI in Agriculture:
• Data Mining;
• Decision Support Systems;
• Expert Systems;
• Forecasting Methods;
• Greenhouse Control with AI;
• Intelligent Control;
• Machine Learning;
• Multi-Agent systems;
• Modelling;
• Optimization;

IOT in Agriculture:
• Internet of Things (IoT);
• Instrumentation and Sensor Technology;
• Wireless sensor networks;
• Monitoring Systems;
• Drones;
• Precision Agriculture;
• Weather Monitoring;
• Navigation Systems;
• Smart Sensors;
• Sensor Fusion.

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Submission and Reviewing Information
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All papers should be submitted in PDF format through the EPIA 2021 EasyChair submission page. Prospective authors should select the thematic track to which their paper is to be submitted. The papers should be prepared according to the Springer LNCS format, with a maximum of 12 pages (Full Regular Paper). The AIoTA tracks may accept short papers (max 6 pages). Submitted papers will be subject to a double-blind review process and will be peer-reviewed by at least three members of the respective track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.


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Proceedings and Presentations
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Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2021 by the early registration deadline. EPIA 2021 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.

Each accepted paper must be presented by one of the authors in a track session.

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Important Dates
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• Full Paper Submission: April 15, 2021
• Notification of Acceptance: May 31, 2021
• Camera ready Papers: June 15, 2021
• Conference Date: September 7-9, 2021

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Organizing Committee
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José Boaventura Cunha
INESC-TEC,
Engineering Department, School of Sciences and Technology,
University of Trás-os-Montes and Alto Douro (UTAD)

Josenalde Barbosa
INESC-TEC,
Agricultural School of Jundiaí,
Federal University of Rio Grande do Norte, UFRN, Brazil.

Paulo Moura Oliveira
INESC-TEC,
Engineering Department, School of Sciences and Technology,
University of Trás-os-Montes and Alto Douro (UTAD)

Raul Morais
INESC-TEC,
Engineering Department, School of Sciences and Technology,
University of Trás-os-Montes and Alto Douro (UTAD)