A single valued neutrosophic set (SVNS) is powerful mathematical model to analyze multi-attribute data. The SVNS have appeared as a useful tool to portray uncertainty in multi attribute decision-making. In this article, we develop hybrid averaging and hybrid geometric aggregation operator using sine trigonometric function to handle uncertainty in single valued neutrosophic information, which are, sine trigonometric-single valued neutrosophic hybrid weighted averaging (ST-SVNHWA) operator and , sine trigonometric-single valued neutrosophic hybrid weighted geometric (ST-SVNHWG) operator. We investigate properties, namely, idempotancy, monotonicity and boundedness for the proposed operators. Moreover, we give an algorithm to solve multi-criteria decision-making issues which involve SVN information with ST-SVNHWA and ST-SVNHWG operators. Finally, an illustrative example of agricultural land selection is provided to verify the effectiveness. Sensitivity and comparative analyses are also implemented to assess the stability and validity of our method.