As we know rice is the main food in China. In recent years, the rapid development of agricultural decision support system provides new management methods for rice production. GA has been regarded as an effective analytic tool and stochastic search technique to solve large and complicated problems. However, traditional GA-based decision support system does not always result in good solutions and search efficiency due to random method. This study presents a heuristic genetic algorithm-based decision support system to search the optimal solution. Heuristic method provides a robust and efficient approach for solving complex real-world problems. This hybrid algorithm incorporates concepts from GA and heuristic method and creates individuals in a new generation not only by crossover and mutation operations as found in GA but also by heuristic mechanism. The result of experiments reveals the proposed algorithm is more computationally effective and efficient than GA alone in terms of solution quality.