Track 1: Smart Agricultural Sensing and Sustainable Resource Management

- Multi-source agricultural environmental intelligent sensing

- Agricultural IoT and dynamic resource monitoring

- Agricultural edge computing and data fusion

- Precision regulation of agricultural resources

- Low-carbon agricultural sensor networks and devices

- Agricultural resource utilization efficiency optimization

Track 2: Agricultural AI and Big Data for Sustainable Production

- Agricultural big data analysis and applications

- Crop growth and yield intelligent prediction

- Agricultural pest/disease intelligent identification and control

- Few-shot/transfer learning in agriculture

- Agricultural production intelligent decision support

- AI-based agricultural carbon footprint and ecological assessment

Track 3: Agricultural Intelligent Equipment and Low-Carbon Operations

- Agricultural robotics and automated equipment

- UAV applications in various agricultural scenarios

- New energy-driven agricultural machinery

- Intelligent control and collaborative operation of agricultural equipment

- Energy-saving optimization and maintenance of agricultural equipment

- Smart farm machinery and farm operation integration

Track 4: Digital Agriculture and Sustainable Ecological Systems

- Agricultural digital twins and system simulation

- Agricultural supply chain digitalization and traceability

- Agricultural carbon sink monitoring and ecological restoration

- Rural digital governance and agricultural service platforms

- Digital agriculture and rural industry integration

- Agricultural information security and data management