Agripreneurship is becoming essential in addressing underemployment and unemployment among young farmers for sustainability and economic growth in agriculture. This study introduces Pentapartitioned Neutrosophic DOMBI Aggregation Operators, including PNDWA, PNDWG, PNDOWA and PNDOWG, to address complex multi-criteria decision-making (MCDM) problems. These operators are integrated into an extended EDAS (Evaluation Based on Distance from Average Solution) method within the Pentapartitioned Neutrosophic Fuzzy (PNF) framework. The proposed PN-EDAS method is applied to identify the optimal agri-business venture for agripreneurs, considering factors like profitability, sustainability and market dynamics. A comparative analysis with established MCDM methods demonstrates the superior performance of the proposed approach in capturing deeper uncertainty and delivering reliable rankings. The application identifies flower cultivation as the most favorable alternative, followed by spinach cultivation and vegetable farming. This study llustrates a critical research gap by leveraging DOMBI operators within the PNS framework, offering a novel tool for practical and theoretical advancements in uncertain decision environments.