A hybrid deep learning framework for multisource data fusion and super-resolution mapping in AI-powered earth observation applications
Ming Deng
IntroductionAchieving ethical and sustainable decision-making in agri-food systems necessitates computational methods that integrate empirical data with normative and environmental constraints. Syntheses of existing evidence often fail to capture the intricate relationships between ecological integrity, social equity, and economic feasibility.MethodsTo address these challenges, we propose a machine-learning enhanced framework comprising three core components: a symbolic formalization layer for m