Crop cultivation strategies that consider substitutability and complementarity

Cropping strategies for rural crops play an important role in the modernization of agriculture and are an important way to achieve the development of the rural economy. Considering the substitutability and complementarity between crops , and potential risks such as climate change, market conditions, etc., under the uncertainty of the expected sales volume, mu yield, planting cost, and sales price, land use constraints, legume planting constraints, heavy cropping constraints, and diversity constraints , and taking maximizing the total return and promoting crop diversity as the specific objectives , the optimization of crop planting strategy is carried out. Example analysis verifies that the optimized planting strategy of particle swarm algorithm adopted in this paper can more effectively reduce the risk and achieve greater profits, which provides a scientific basis for rural economic development.