January 31st, 2023 
Daniela Lopez de Luise We cordially invite you to submit your original contributions to AgriAI'23 – the 1st International Workshop on AI in Agriculture,
which will take place as a satellite workshop to IEEE FedCSIS 2023, to be held in Warsav, Poland on Septemeber 17 – 20, 2023.
Please see the workshop website: https://fedcsis.org/sessions/aaia/agriai and the general conference web page https://fedcsis.org/ for more information.
Artificial Intelligence (AI) is increasingly used in agriculture for a variety of uses, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased use of resources for improving quality and productivity. This workshop welcomes contributions related to a wide variety of interdisciplinary research and applications related to artificial intelligence in agriculture. AI can, in fact, provide highly positive effects on precision agriculture by optimizing, automating and forecasting several aspects of farming and revolutionizing the sector, providing helpful information and driving decisions using multiple sources of data and different sensors.
Moreover, in the climate change era, AI can improve sustainability by optimizing the use of resources such as water and soil management. We welcome innovative contributions, early results and position papers addressing one or more of the topics listed below and intend to foster informal discussions and bring together researchers, practitioners and industry experts to explore the challenges and opportunities of AI and Agriculture. We look forward to receiving your submissions and seeing you at the workshop!
Topics
Papers related to theories, methodologies, and applications in science and technology in the field of AI in Agriculture are especially solicited. Topics covering applications and academic research are included, but not limited to:
- Computer vision in agriculture
- Signal and image processing in agriculture
- Computational intelligence in agriculture
- Artificial intelligence in agriculture
- Decision support systems
- Expert systems & predictive systems
- AI-based precision agriculture
- Machine learning and pattern recognition
- IoT in agriculture
- Food and livestock management
- Big data
- Remote sensing
- Unmanned aerial vehicle vehicles
- Autonomous driving in agriculture
- Harvesting automation
- Robotics and robotic perception in agriculture
- Ethics and social impact of AI on agriculture
- AI-based crowd-sensing and participatory approaches in agriculture
- Applications in agriculture
Submission rules
- Authors should submit their papers as Postscript, PDF or MSWord files.
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available at https://www.fedcsis.org/2020/instructions
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to information at https://fedcsis.org/for_authors/indexation
- Organizers reserve right to move accepted papers between FedCSIS technical sessions.
Technical Session Chairs
- Massimo Martinelli, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
- Davide Moroni, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
- Ales Procházka, University of Chemistry and Technology & Czech Technical University CIIRC, Prague, Czech Republic
- Karel Charvat, Czech Center for Science and Society, Prague, Czech Republic
Program Committee
- Bacco, Manlio, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
- Berton, Andrea, Geosciences and Earth Resources, National Research Council, Pisa, Italy
- Dahyot, Rozenn, Maynooth University Department of Computer Science, Dublin, Ireland
- Ienco, Dino, Territories, Environment, Remote Sensing and Spatial Information, Montpellier, France
- Klapp, Iftach, Institute of Agricultural Engineering, Volcani Institute, Agricultural Research Organization Bet Dagan, Tel Aviv, Israel
- Milella, Annalisa, Institute of Intelligent and Industrial Technologies and Systems for Advanced Manufacturing, National Research Council, Bari, Italy
- Mildorf, Tomas, University of West Bohemia, Pilsen, Czech Republic
- Majdik, András, Lászlóm, Institute for Computer Science and Control, Budapest, Hungary
- Nutini, Francesco, Institute for Electromagnetic Sensing of the Environment, National Research Council, Milano, Italy
- Palma, Raul, Supercomputing and Networking Center, Poznan, Poland
- Salvetti, Ovidio, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
- Scozzari, Andrea, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
- Stavness, Ian, Department of Computer Science, Global Institute for Food Security, University of Saskatchewan, Saskatoon, Canada
- Töreyin, Behçet Uğur, Technical University, Istanbul, Turkey
- Toscano, Piero, Institute of Bioeconomy, National Research Council, Florence, Italy
- Trocan, Maria, Institut Supérieur d'Electronique de Paris, Paris, France
- Zerubia, Josiane, National Institute for Research in Digital Science and Technology, Sophia Antipolis, France
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