Abstract
Crop rotation, as an important practice in sustainable agriculture, has a significant long-term impact on improving soil health. With the widespread application of big data technology in agriculture, the effects of crop rotation on soil health can now be monitored and evaluated with greater precision and efficiency. This study, based on a big data platform, comprehensively collects and analyzes the physical, chemical, and biological properties of the soil, exploring the mechanisms by which crop rotation improves soil structure, promotes nutrient cycling, regulates microbial communities, and suppresses pathogens. Through big data modeling and long-term monitoring, this study evaluates the lasting effects of rotation patterns on soil organic matter accumulation, microbial diversity, and soil resilience. Based on the analysis, optimized rotation systems and soil management strategies are proposed, aimed at continuously enhancing soil health and promoting sustainable agricultural development. This study provides important data support and reference for agricultural decision-making and soil management.
