AgriAI 2025 : Artificial Intelligence in Agriculture - IEEE FedCSIS
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 Thematic Session welcomes contributions related to a wide variety 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 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 resources such as water and soil management as well as forstering novel methods and approaches. We welcome innovative contributions, early results, and position papers addressing one or more of the topics listed below. We intend to foster informal discussions and bring together researchers, practitioners, and industry experts to explore the challenges and opportunities of intelligence systems 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
Intelligence systems and decision support in agriculture
Expert systems & predictive systems
AI-based precision agriculture
Machine learning and pattern recognition
IoT in agriculture
Food and livestock management
Big data
Remote sensing
Uncrewed aerial vehicle vehicles
Autonomous driving in agriculture
Geospatial AI in agricultural
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: [email protected]
Program Committee (to be confirmed!)
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
N.N. Misra, Taif University, Saudi Arabia
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
Moreover, in the climate change era, AI can improve sustainability by optimizing resources such as water and soil management as well as forstering novel methods and approaches. We welcome innovative contributions, early results, and position papers addressing one or more of the topics listed below. We intend to foster informal discussions and bring together researchers, practitioners, and industry experts to explore the challenges and opportunities of intelligence systems 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
Intelligence systems and decision support in agriculture
Expert systems & predictive systems
AI-based precision agriculture
Machine learning and pattern recognition
IoT in agriculture
Food and livestock management
Big data
Remote sensing
Uncrewed aerial vehicle vehicles
Autonomous driving in agriculture
Geospatial AI in agricultural
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: [email protected]
Program Committee (to be confirmed!)
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
N.N. Misra, Taif University, Saudi Arabia
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