抄録
With the rapid development of global agriculture, big data technology plays a crucial role in analyzing soil health and crop adaptability. This paper systematically examines the application of big data in the integrated assessment of soil chemical, physical, and biological properties, revealing the complex relationships between soil types and crop growth. It focuses on the impacts of soil degradation on crop growth, yield, and quality and explores the feasibility of optimizing soil management strategies using big data, covering areas such as precision fertilization, irrigation control, and soil improvement. Additionally, this paper delves into applying big data-driven predictive models for selecting highly adaptable crop varieties, considering environmental factors such as climate change, and presenting innovative solutions for optimizing agricultural cultivation strategies. The practical effectiveness of big data technology in soil health management and crop adaptability analysis is validated through case studies. This paper aims to provide a scientific basis for academia and agricultural practitioners, promoting sustainable agricultural production and accelerating the application of data-driven intelligent agricultural management.
