The EPIA 2025 international conference
Artificial Intelligence and IoT in Agriculture (AIoTA)
Thematic track of the 24th Portuguese Conference on Artificial Intelligence (EPIA 2025)
October 1-3, 2025, Faro, Portugal.
Webpage: https://epia2025.ualg.pt/
Important dates
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Paper submission deadline: |
May 23, 2025 (AoE) |
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Notification of paper acceptance: |
July 4, 2025 |
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Camera-ready papers deadline: |
July 14, 2025 (AoE) |
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Conference: |
October 1-3, 2025 |
Proceedings and presentation
- Accept papers will be included in the conference proceedings as long as at least one author is registered in EPIA 2025 by the deadline of early bird registration.
- EPIA 2025 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.
Introduction
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.
Topics of interest
- AI in Agriculture:
- Data Mining
- Decision Support Systems
- Expert Systems
- Forecasting Methods
- Greenhouse Control with AI
- Intelligent Control
- Machine Learning
- Multi-Agent systems
- Modelling and Optimization
- IoT in Agriculture:
- Internet of Things
- Instrumentation and Sensor Technology
- Wireless sensor networks
- Monitoring Systems
- Unmanned Vehicles and Systems
- Drones Applications
- Precision Agriculture
- Weather Monitoring
- Navigation Systems
- Smart Sensors
- Sensor and Data Fusion
Organizing committee
- Luís Pádua, Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes e Alto Douro (UTAD)
- Filipe Neves dos Santos, Institute for Systems and Computer Engineering, Technology and Science, INESC-TEC
- José Boaventura Cunha, University of Trás-os-Montes e Alto Douro (UTAD)
- Paulo Moura Oliveira, University of Trás-os-Montes e Alto Douro (UTAD)
- Raul Morais, University of Trás-os-Montes e Alto Douro (UTAD)
