(The following topics include but are not limited to)
Theme 1: Smart Agriculture
Application of big data in agricultural management
Agricultural intelligent information processing and agricultural rural informatization
Climate-smart agriculture
Precision irrigation and intelligent control system
Virtual reality and agricultural training
Integration of biotechnology and data science
The combination of agricultural policy and smart technology
Application of predictive maintenance in agricultural machinery
Application of robot technology in agricultural production
Soil health and intelligent monitoring system
Integration of eco-agriculture and smart technology
Agricultural product supply chain optimization
Continuous monitoring and intelligent forecasting
Intelligent agricultural robot and human-machine collaboration
Path planning and intelligent scheduling of agricultural robots
Planting system optimization and intelligent algorithm
Topic 2: Machine Learning
Intelligent information processing technology
Intelligent software, image processing, machine learning and soft computing
Intelligent Computing and applications, Python and machine learning
Data mining, big data technology, artificial intelligence, deep learning
Pattern recognition and classification of networks
Machine Learning security and protection
Performance analysis of machine learning algorithms
Optimize machine learning methods
Machine learning 5G system
Machine learning for user behavior prediction
Theme 3: iot in Agriculture
Agricultural computer modeling and statistics
Statistical analysis of the Internet of Things and smart farms
Parallel and distributed simulation methods for crop monitoring and pest control
Advanced computer modeling and statistical methods are used to make decisions
Statistical modeling of precision agriculture
Big data combined with statistical modeling to improve agricultural productivity
Computer models and innovations for sustainable agriculture
Model sensor data to obtain agricultural useful information