SAWAOS: Smart Agri-Waste Analysis and Optimization System

The growing volume of agricultural residues poses significant environmental and economic challenges, while existing waste management practices remain inefficient and unsustainable. This paper presents SAWAOS (Smart Agri-Waste Analysis and Optimization System), an applied AI-based decision-support framework for intelligent agricultural waste utilization. SAWAOS integrates waste characteristics, location information, and domain knowledge to generate context-aware recommendations for composting, bioenergy conversion, and industrial reuse. The system employs an explainable, rule-enhanced AI decision logic suitable for low-data rural environments and incorporates a digital marketplace that directly connects farmers with industries and consumers, supporting circular economy principles. The framework is validated through a functional prototype and case-study-based evaluation using representative agricultural residues. A comparative analysis with existing waste management approaches highlights the advantages of SAWAOS in terms of decision support, stakeholder integration, and scalability. The SAWAOS demonstrates how applied AI can transform agricultural waste from a disposal challenge into a sustainable economic resource.