The goal of the 1st Workshop on Edge AI for Smart Agriculture (EAISA) is to provide a forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences and work-in-process on aspects related to the use and deployment of Edge Artificial Intelligence for smart and sustainable agriculture.

While intelligent systems for smart agriculture (and smart cities, in a wider view) are becoming widely available, they are mostly based on remote facilities for analysis and decision-making. Bringing AI to the edge is a way to cope with the many constraints such as limited communication capabilities and power supply. This also brings new challenges, such as energy efficiency and adapting AI models to low-capacity processors.

Attendees will appreciate and benefit from multidisciplinary exchanges on these hot topics.

Topics of interest include any aspects that are related, connected and/or could be of benefits to smart and sustainable agriculture. This includes and is not limited to:

• Edge Computing and Internet of Things
• Edge AI, Distributed AI, Federated AI
• Machine learning and Big Data on the Edge
• Quantized models and TPU models
• Data Analysis and prediction using Big data Analytics
• Yield prediction and optimization
• Monitoring and discrimination of plant diseases
• Climate condition monitoring and automate systems
• Smart agriculture and urban farming
• Smart irrigation
• Applications to greenhouse horticulture
• Crop monitoring, Livestock monitoring
• Intelligent Agro-Food chain system
• Waste management for agriculture 2.0
• Communication and Networking
• Drone-based applications
• Low-cost solutions for wide-area exploitations and developing countries
• Prototype systems, testbeds and real-world deployment experiences
• Secure Services and Protocols
• Energy Efficiency
• Renewable-energy based devices