In a nearby future the world population will rise significantly, reaching 8.5 billion by 2030 and 9.7 billion in 2050. The population increase together with current and new environmental requirements, demand new agriculture production methods. Artificial Intelligence  AI) and Internet of Things (IoT) techniques will play a crucial role in current and future production technologies. The global aim of this thematic track is to bring together researchers, companies, developers and users of both AI and IoT (AI&IoT) fields applied to solve smart agriculture farming and production problems.

Application domains for AI&IoT are wide-ranging, from smart buildings through health monitoring and wearable devices to agro-forestry predictive systems. The spectrum of IoT-specific devices, solutions and scientific approaches include: data acquisition by sensors and mobile devices; RF technologies used in data transmission and data collection in sensor networks; Verification and optimization techniques to help sensor networks to be maintained and operated; Big data and AI approaches provide predictive analytics and high-level correlations of data, all towards better decision support systems. This track covers the spectrum from theoretical results to concrete applications and solutions. 

TOPICS OF INTEREST

AI in Agriculture:

• Data Mining
• Decision Support Systems
• Expert Systems
• Forecasting Methods
• Greenhouse Control with AI
• Intelligent Control
• Machine Learning
• Multi-Agent systems
• Modelling
• Optimization