(The following topics include but are not limited to)
Track 1: Smart Agriculture
Design and Optimization of Agricultural Sensor Networks
Edge Computing and Multi-source Data Fusion Technology in Agriculture
Intelligent Monitoring of Environmental Parameters such as Soil, Climate, and Water
Energy-efficient Wireless Perception System for Precision Agriculture
Architecture and Protocol Design of Agricultural Internet of Things
Crop Yield Prediction Model
Deep Learning Methods in Pest and Disease Prediction and Identification
Data Mining and Analysis of Agricultural Big Data
Application of Transfer Learning and Small Sample Learning in Agriculture
Research on Explainable Artificial Intelligence (XAI) in Agriculture
Path Planning and Navigation Control of Intelligent Agricultural Machinery
Application of Drones in Agriculture (Monitoring, Spraying, Transportation, etc.)
Multi-robot Collaboration and Autonomous Operation System
Human-Machine Interaction Technology in Agricultural Robots
Predictive Maintenance and Fault Detection of Agricultural Equipment
Track 2: Robotics Technology
Robot and Intelligent Systems
Fundamentals of Robotics
Perception and Machine Vision
Robot Autonomous Navigation
Embedded Systems and Real-time Control
Agricultural Environmental Sensing Technology
Design of Agricultural Robot Systems
Agricultural Drone Technology and Applications
Robot Grasping and Operation
Agricultural Robots and AI
Drones and Ground Robot Platforms
Clustered Cooperative Operations of Robots
Applications of Soft Robotics in Agriculture
Data Management and Agricultural Cloud Robots
Track 3: Automation
Automatic Control Theory
Sensors and Detection Technology
Data Acquisition and Processing
Integration of Intelligent Agricultural Equipment Systems
Artificial Intelligence and Intelligent Control
Modeling and Simulation of Agricultural Automation Systems
......