Maximization of crop yield with minimization of resource inputs is one of major problem faced by different agricultural practices. Global food security depends on achieving sustainable crop yield and resource efficiency in agriculture. Promising approach to handle these optimization problems is offered by Genetic Algorithms that is based on iteratively evolving solutions based on natural selection and genetic inheritance principles. This paper presents the application of Genetic Algorithm in optimizations of agricultural practices, with a special focus on increasing crop yield and resource efficiency. The findings of this paper highlight essential role Genetic Algorithms plays in promoting sustainable practices, revolutionizing agricultural decision-making, and granting robustness in the face of evolving environmental challenges and economic pressures.