Abstract
The application of Artificial Intelligence (AI) in soil data analysis is rapidly advancing, driving agriculture towards a more intelligent, precise, and sustainable future. The progress of AI technology plays a crucial role in soil data analysis, enhancing the intelligence level of agricultural management and providing strong support for global food security and sustainable development. The future development trends include (1) Improvement in data collection and processing technologies, such as advanced sensors and remote sensing techniques; (2) Innovation in data analysis and modeling methods, including the application of machine learning and deep learning; (3) Intelligent soil health assessment and management, with applications in precision agriculture and automated equipment; (4) Development of intelligent decision support systems, offering real time data analysis and decision-making recommendations; (5) Data integration and sharing, promoting research and collaboration through open platforms; (6) Integration and innovation of technologies, including the application of edge computing and blockchain technology. These trends will continue to drive the advancement of soil data analysis, enhancing the efficiency and sustainability of agricultural production.
