Abstract
The complex interactions among soil, plants, and microbes in paddy field ecosystems are crucial for their productivity, health, and sustainability. With the rapid advancement of big data technologies, significant progress has been made in uncovering these interactions. This paper reviews the applications of big data technologies in studying soil-plant-microbe interactions in paddy fields, focusing on big data analysis methods related to soil's physical and chemical properties, plant growth dynamics, and microbial community structures. It analyzes the key factors influencing paddy ecosystem functions and their interaction patterns. Furthermore, the paper discusses precision agricultural management strategies driven by big data, including precision fertilization, water resource management, microbial community regulation, and integrated pest and disease control. Finally, it explores the future development trends of big data technologies in paddy ecosystem research, highlighting current technical challenges and the importance of interdisciplinary collaboration. This paper aims to provide theoretical insights and practical references for the sustainable development of paddy field management.
