Farming culture is an important support for current rural revitalization. The inheritance of farming culture can drive the new development and cultural prosperity of the countryside. In this paper, we establish a model of farming culture resource-task allocation problem, and use the combination of column enumeration method and pairwise test method to solve the linear planning model of farming culture resource allocation. In order to reduce the amount of computation, an improved genetic algorithm incorporating a learning mechanism is designed. The algorithm uses greedy operator to encode the chromosomes, and considers a single chromosome as an orderly arrangement of several villages, and finally determines the overall allocation plan by sequentially allocating farming cultural resources to villages. The improved genetic algorithm incorporating the learning mechanism is used to solve the linear planning model of farming culture resource allocation to find the allocation efficiency of farming culture resources before and after resource allocation in 2024. The combination of each key resource input after the optimization process according to the linear planning model of optimal resource allocation is (17.5263, 23.6659, 23.2143, 24.3662, 23.0045, 23.8596, 24.6365, 24.9631). The resource allocation capacity of farming culture is 85.0027. The enhancement of resource allocation efficiency of farming culture is more conducive to the development of rural revitalization.
