| In 2020,the comprehensive mechanization rate of cultivation and harvest of main crops in Shandong Province reached 88.5%,maintaining a rapid growth.However,there are many problems in the well irrigation area of Shandong Province,such as the diversity of wheat maize double cropping planting modes,the inconsistency of technical modes,the failure to give full play to the mechanical efficiency under large-scale production,the low matching ratio of power machinery and machines,and the waste of agricultural machinery power and funds.Therefore,it is necessary to build the whole process mechanized agricultural machinery allocation model of wheat maize in well irrigation area of Shandong Province to improve the matching ratio of agricultural machinery and speed up the whole process mechanized process of wheat maize.Through field investigation and comprehensive benefit evaluation,this paper defines the whole process mechanized production process of wheat corn in well irrigation area of Shandong Province,completes the selection and grouping of agricultural machines and tools by using fuzzy comprehensive evaluation method,establishes the whole process mechanized agricultural machinery allocation model of wheat corn in well irrigation area of Shandong Province with the goal of minimizing annual operation cost,and optimizes the shortcomings of the model.Through the field investigation of wheat corn agricultural cooperatives in well irrigation areas of Shandong Province,the planting scale,farming mode and mechanization level of cooperatives were analyzed and sorted out.The comprehensive benefit evaluation system of wheat corn planting cooperatives is constructed by using analytic hierarchy process and Delphi method.Based on the production process of agricultural cooperatives with the highest comprehensive benefit score,the whole process mechanized production technology of wheat corn in well irrigation area of Shandong Province is determined,which includes 16 operation links.The evaluation indexes of agricultural machines and tools are constructed by listing Delphi method,the evaluation indexes are weighted by analytic hierarchy process,the priority of agricultural machines and tools is determined by fuzzy comprehensive evaluation method,and the combination of machines and tools that can complete the relevant operation process is compiled according to the priority.The integer linear programming model is established with the objective of minimizing the annual operating cost.Taking Taian Yueyang crop professional cooperative as an example,the model is solved by lingo software.The model calculation results show that the annual operating cost of agricultural machinery is 306.85 yuan / mu,which is 10.9% lower than the actual situation,the power machinery and operating machinery are reduced by 40%and 42.19% respectively,and the matching ratio of agricultural machinery is increased by50%.The results show that the model can reasonably reduce the operation cost of agricultural machinery and improve the matching ratio of agricultural machinery,but the model has defects and can not provide the matching scheme of agricultural machinery when the planting area is small.The method optimization model is to separate the operation links of agricultural machinery and eliminate the operation links in which the purchase cost of agricultural machinery is greater than the cost of renting agricultural machinery.Taking the planting area of 100 mu as an example,the annual cost of the optimized model is 47922 yuan,a decrease of 77.22%,which greatly reduces the operation cost of agricultural machinery and increases the economic benefits of wheat and corn planting.The allocation of agricultural machinery decreased by 63.63%,reducing the capital share of small farmers and agricultural cooperatives with small circulation area in agricultural machinery and reducing business risks.The results can provide technical reference for the full mechanized agricultural machinery and agronomic integration of wheat and Maize in Dryland irrigation areas of Shandong Province and the allocation of agricultural machinery in agricultural cooperatives. |