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AgriAI 2024 : IEEE Artificial Intelligence in Agriculture
AgriAI 2024 : IEEE Artificial Intelligence in Agriculture

AgriAI 2024 : IEEE Artificial Intelligence in Agriculture

Belgrade, Serbia
Event Date: September 08, 2024 - September 11, 2024
Submission Deadline: May 14, 2024
Notification of Acceptance: June 08, 2024
Camera Ready Version Due: July 09, 2024




Call for Papers

We are pleased to invite you to submit your original contributions to AgriAI'24 - the 2nd International Workshop on Artificial Intelligence in Agriculture,
which will take place as a satellite workshop to IEEE FedCSIS 2024, to be held in Belgrade, Serbia, on 8–11 September, 2024.
Please see the workshop website: https://2024.fedcsis.org/thematic/agriai and the general conference web page https://fedcsis.org/ for more information.

Paper submission deadline: May 14, 2024

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 academic research, applications and lesson learnt 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
Digital twins for agriculture
AI and computational optics in agriculture sensing
Data space for 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 12 pages IEEE style (including tables, figures and references). IEEE style templates are available at https://2024.fedcsis.org/for_authors/instructions
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
Preprints containing accepted papers will be published online.
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://2024.fedcsis.org/for_authors/indexation
Organizers reserve right to move accepted papers between FedCSIS Tracks.


Thematic Track organizers

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 (in progress)

Bacco Manlio, Joint Research Centre, Varese Italy, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
Culibrk Dubravko, Institute for Artificial Intelligence Research and Development of Serbia, University of Novi Sad, Serbia
Dahyot Rozenn, Maynooth University Department of Computer Science, Dublin, Ireland
De Marinis Pasquale, Department of Computer Science, University of Bari Aldo Moro, Bari, Italy
Đorđević Vuk, Institute of field and vegetable crops, Novi Sad, Serbia
Fuentes Alvaro, Core Research Institute of Intelligent Robots, Department of Electronics Engineering, Jeonbuk National University, Jeonju, South Korea
Giraddi Shantala , School Of Computer Science and Engineering, K.L.E Technological University, Hubli, India
Ienco Dino, Territories, Environment, Remote Sensing and Spatial Information, Montpellier, France
Iqbal Naeem, Faculty of Engineering and Computer Science, University of Applied Sciences Osnabrueck, Osnabrueck, Germany
Klapp, Iftach, Institute of Agricultural Engineering, Volcani Institute, Agricultural Research Organization Bet Dagan, Tel Aviv, Israel
Kisacanin Branislav, The Institute for Artificial Intelligence Research and Development, Novi Sad, Serbia, Nvidia Corporation, Texas, USA
Kosmopoulos Dimitrios, Computer Engineering and Informatics Department, University of Patras, Greece
Majdik András, Lászlóm, Institute for Computer Science and Control, Budapest, Hungary
Marko Oskar, BioSense Institute,University of Novi Sad, Serbia
Mildorf Tomas, University of West Bohemia, Pilsen, Czech Republic
Milella Annalisa, Institute of Intelligent and Industrial Technologies and Systems for Advanced Manufacturing, National Research Council, Bari, Italy
Nutini Francesco, Institute for Electromagnetic Sensing of the Environment, National Research Council, Milano, Italy
Palma Raul, Supercomputing and Networking Center, Poznan, Poland
Petrovic Veljko, Faculty of Technical Sciences, University of Novi Sad, Serbia
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
Szantoi Zoltan, European Space Agency, Stellenbosch University, South Africa
Töreyin Behçet Uğur, Technical University, Istanbul, Turkey
Toscano Piero, Institute of Bioeconomy, National Research Council, Florence, Italy
Trocan Maria, Institute of Digital Technology, Paris, France
Zerubia Josiane, National Institute for Research in Digital Science and Technology, Sophia Antipolis, France


Credits and Sources

[1] AgriAI 2024 : IEEE Artificial Intelligence in Agriculture


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