本期特刊探讨了人工智能驱动的生物炭应用方法,涵盖农业、森林和草地生态系统。主题包括遥感/近地传感、碳循环、生态系统可持续性、土地退化修复、多源数据整合、智能决策支持和案例研究。其目标是在全球碳中和的背景下,推进土壤肥力、碳固存和可持续土地管理方面的可扩展知识。
This Special Issue explores AI-driven approaches to biochar applications across agricultural, forest, and grassland ecosystems. Topics include remote/proximal sensing, carbon cycling, ecosystem sustainability, land degradation restoration, multi-source data integration, intelligent decision support, and case studies. The goal is to advance scalable knowledge for soil fertility, carbon sequestration, and sustainable land management under global carbon neutrality.