(The following topics include but are not limited to)
Track 1: Agricultural Robots and Intelligent Equipment
Design and integration of agricultural robot systems
Autonomous navigation and obstacle avoidance technologies in unstructured environments
Intelligent perception and multi-modal perception fusion of agricultural robots
Design of precise operation execution mechanisms and end effectors
Application of unmanned aerial vehicles in agricultural monitoring, spraying and transportation
Multi-robot collaborative operations and cluster control
Intelligent agricultural machinery equipment and unmanned operation systems
Automated equipment for greenhouses, orchards and facility agriculture
Path planning and operation scheduling optimization for agricultural robots
Human-machine interaction and remote control technologies
Predictive maintenance and fault detection of agricultural equipment
Application of bionic robots in agriculture
Adaptive control and embodied intelligence of agricultural robots
Track 2: Smart Agriculture and Precision Agriculture
Agricultural Internet of Things (Agri-IoT) and sensor networks
Precision agriculture technologies and variable operations (variable fertilization, spraying, sowing)
Application of artificial intelligence in crop growth modeling and yield prediction
Agricultural big data analysis and intelligent decision support systems
High-throughput acquisition and analysis of crop phenotypes based on deep learning
Intelligent pest and disease monitoring and early warning systems
Smart greenhouse environment control and crop growth optimization
Water-saving irrigation and intelligent water and fertilizer integration technology
Digital twins and agricultural virtual simulation systems
Application of blockchain in agricultural product traceability and supply chain
Agricultural remote sensing and geographic information (GeoAI) in farm management
Climate-smart agriculture (CSA) and low-carbon agricultural technologies
Track 3: Environmental Monitoring and Sustainable Agricultural Development
Multi-source sensing technologies for agricultural ecosystems (soil, water quality, weather, air quality)
Monitoring of agricultural carbon emissions and carbon sink accounting
Regional environmental monitoring based on unmanned aerial vehicle/satellite remote sensing
Analysis of sensor networks and environmental data fusion
Monitoring of agricultural non-point source pollution and prevention
Soil health assessment and precise nutrient management
Extreme weather warning and agricultural disaster prevention and mitigation systems
Resource utilization and environmental impact assessment of agricultural waste
Ecological risk assessment and biodiversity monitoring based on AI
Low-power wide area network (LPWAN/LoRa) environmental monitoring system
Visualization of environmental big data and decision support
Sustainable use of water resources and water quality monitoring technologies
Agricultural environmental management strategies for carbon neutrality ......