抄録
Soil salinization is a major challenge in global agricultural production, severely affecting crop growth and soil health. With the intensification of climate change and human activities, the issue of salinization is becoming increasingly prominent, and traditional remediation methods are sometimes limited in effectiveness. Big data technology offers new opportunities for the precise management of saline-alkali soils. This study integrates data on environment, climate, soil, and crop growth to analyze the mechanisms underlying salinization and to reveal the impacts of climate conditions, groundwater levels, and land use on soil salinization. Using big data technology, we aim to achieve real-time monitoring, accurate prediction, and intelligent management of soil salinization to optimize irrigation and improvement measures. Additionally, the study explores physical, chemical, and biological improvement strategies and proposes a data-driven integrated management approach. Through the analysis of global and Chinese case studies, we validate the effectiveness and feasibility of data-driven improvements in saline soils. This study aims to explore how big data technology can provide scientific support and innovative solutions for soil salinization management, offering insights into the sustainable development of future agriculture.
