Artificial Intelligence (AI) is increasingly utilized in agriculture for a variety of uses, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased resource utilization for improving quality and productivity. This Thematic Session welcomes contributions related to a wide range of interdisciplinary research and applications related to the application of intelligence systems in agriculture. AI can, in fact, provide highly positive effects on precision agriculture by optimizing, automating, and forecasting several aspects of farming, thereby revolutionizing the sector and 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 resources such as water and soil management, as well as fostering novel methods and approaches.
We welcome innovative contributions, early results, and position papers addressing one or more of the topics listed below. We aim to foster informal discussions and bring together researchers, practitioners, and industry experts to explore the challenges and opportunities of intelligence systems in agriculture.
We look forward to receiving your submissions and seeing you at the thematic session!

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 lessons learnt are included, but not limited to:

Computer vision in agriculture
Signal and image processing in agriculture
Computational intelligence in agriculture
Generative AI for Agriculture
Intelligence systems and decision support in agriculture
Expert systems & predictive systems
LLM for AKIS (Agriculture Knowledge Information System)
AI-based precision agriculture
Machine learning and pattern recognition
Federated AI for Agriculture
IoT in agriculture
Food and livestock management
Big data
Water Management
Remote sensing
Phenotyping & Genomics
Uncrewed aerial vehicle vehicles
Autonomous driving in agriculture
Geospatial AI in agriculture
Harvesting automation
Robotics and robotic perception in agriculture
Digital twins for agriculture
Data space for agriculture
AI for biodiversity and sustainable agroecology
Ethics and social impact of AI on agriculture
AI-based crowd-sensing and participatory approaches in agriculture


Thematic Session organizers

Martinelli, Massimo, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
Moroni, Davide, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
Procházka, Ales, University of Chemistry and Technology & Czech Technical University CIIRC, Prague, Czech Republic
Charvat, Karel, Czech Center for Science and Society, Prague, Czech Republic

Contact: agriai@fedcsis.org


Program Committee (being updated!)

Bacco Manlio, Joint Research Centre, Varese, Italy, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
Christopher Brewster, Data Science Dept., TNO, Soesterberg, Netherlands
Pereira de Figueiredo Felipe Augusto, National Institute of Telecommunications, Santa Rita do Sapucaí, Brazil
Ienco Dino, Territories, Environment, Remote Sensing and Spatial Information, Montpellier, France
Klapp, Iftach, Institute of Agricultural Engineering, Volcani Institute, Agricultural Research Organization
Kosmopoulos Dimitrios, Computer Engineering and Informatics Department, University of Patras, Greece
Loukatos Dimitrios, Agricultural University of Athens, Greece
Majdik András, Lászlóm, Institute for Computer Science and Control, Budapest, Hungary
Mildorf Tomas, University of West Bohemia, Pilsen, Czech Republic
N.N. Misra, Taif University, Saudi Arabia
Petrovic Veljko, Faculty of Technical Sciences, University of Novi Sad, Serbia
Peña Barragán José Manuel, Institute of Agricultural Sciences, CSIC, Madrid, Spain
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
Szczuka Marcin, Institute of Informatics, The University of Warsaw
Trocan Maria, Institute of Digital Technology, Paris, France
Zacepins Aleksejs, Faculty of Information Technologies, University of Life Sciences and Technologies, Jelgava, Latvia