[CfP] Artificial Intelligence in Agriculture (AgriAI’26) - IEEE CORE B
Davide Moroni
Please distribute this call to interested parties.
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We are pleased to invite you to submit your original contributions to AgriAI'26, the 4th edition of the Thematic Session on Artificial Intelligence in Agriculture.
This event will take place within the framework of the 21st FedCSIS 2026, held in Riga, Latvia, August 23-26,, 2026.
Please see the Thematic Session Website: https://2026.fedcsis.org/thematic/agriai/ and the general conference Web page https://2026.fedcsis.org/ .
Paper submission deadline: April 15, 2026
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 fostering 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 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, Edge efficient AI & Low-Connectivity ML in agriculture
• Biosecurity & surveillance AI
• Food and livestock management
• Big data
• Water Management
• Remote sensing
• Phenotyping & Genomics
• Uncrewed aerial 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
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). More pages can be added for an additional fee. IEEE style templates are available a the following address: https://2026.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 website.
• Conference proceedings will be submitted for indexation according to information at the following address: https://2026.fedcsis.org/for_authors/indexation
• Organisers reserve the right to move accepted papers between FedCSIS Sessions.
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: agr...@fedcsis.org
Program Committee ( updating )
• Bacco Manlio, Joint Research Centre, Varese Italy, Institute of Information Science and Technologies, National Research Council, Pisa, Italy• Gajinov Senka, DunavNET, University of Donja Gorica, Novi Sad, Serbia
• 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
• Kosmopoulos Dimitrios, Computer Engineering and Informatics Department, University of Patras, Greece
• Krco Srdjan, DunavNET, University of Donja Gorica, Novi Sad, Serbia
• 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
• Rabbani Kashif , Digital Catapult, London, United Kingdom
• 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
• Silvestri Nicola, Department of Agricultural, Food and Agro-environmental Sciences, University of 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
Signals & Images LAB
Institute of Information Science and Technologies
ISTI-CNR
via Moruzzi 1, 56124, Pisa
e-mail: davide...@isti.cnr.it