AI in Agriculture
(AgriAI)

Belgrade, Serbia, 8–11 September, 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 Thematic Track 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
Data space for agriculture
Ethics and social impact of AI on agriculture
AI-based crowd-sensing and participatory approaches in agriculture
Applications in agriculture

Thematic Track 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

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 here.
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 here.
Organizers reserve right to move accepted papers between FedCSIS Tracks.