Artificial Intelligence in Agriculture (AgriAI’24) – IEEE – Call for paper

We cordially 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: and the general conference web page  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!


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