Empowering Smallholders: An SDG-Aligned Adaptive MCDM Algorithm for Agricultural Service Selection in Bangladesh

The significant contribution of this research is the development of a farmer-centric, adaptive decision-support algorithm that directly empowers Bangladeshi smallholders to select agricultural service providers, bypassing traditional informal broker networks. By integrating Haversine spatial filtering with a user-configurable TOPSIS multi-criteria evaluation, the system allows farmers to transparently rank providers in real-time based on customized weights for price, distance, service quality, and availability. Ultimately, this tool fills a critical gap in digital agriculture by providing a scalable, field-ready architecture that democratizes market access while simultaneously advancing multiple Sustainable Development Goals.