抄録
With the intensification of global water scarcity and soil salinization, sustainable agricultural development faces escalating challenges, prompting growing interest in the efficient utilization of saline water resources and the cultivation of salt-tolerant crops. In recent years, advances in artificial intelligence (AI) and big data technologies have opened new avenues for addressing key technical bottlenecks in saline water desalination, salt recovery, and salt-tolerant crop breeding. These technologies enable high-throughput data processing and intelligent analysis, thereby enhancing the efficiency of desalination processes, improving the recovery and recycling of salt resources, and accelerating the identification of salt-tolerant genes and precision breeding of resilient crop varieties. Furthermore, the integration of real-time monitoring and dynamic control systems in both water treatment and agricultural management contributes to the enhanced reliability, adaptability, and cost-effectiveness of saline agriculture. This paper systematically examines the current state of research and major technical challenges in saline water utilization and salt-tolerant crop development. It further elucidates the transformative potential of AI- and data-driven innovations in promoting sustainable land reclamation and agricultural productivity on saline-alkali soils. The paper aims to provide a theoretical foundation and practical guidance for future research and technological innovation in the context of climate-resilient and resource-efficient agriculture.
