Abstract
The objective of this paper is to study the linear programming algorithm of the mathematical model of agricultural machinery allocation when there are many farmland projects and cross operations. In this paper, combined with the mechanization process of crops in XPCC, the linear programming algorithm of mathematical model was used to establish the allocation scheme of different scales. All equations were solved and analyzed, and the allocation schemes of different planting scales were compared. It is also observed that through the interactive conflicts in between multiple objectives a solution vector can be analyzed. The results show that the activity cost of Scheme 5 was the lowest, only 1,260 yuan per mu, which was the best way to equip agricultural machinery. The results present that it is of great significance to optimize the configuration of agricultural machinery. The experimental results present that the portion of water which is reused in comparison with the total water is gradually increasing which leads to the overall reduction in water consumption.
Highlights
Agricultural mechanization as an important part of the whole management, whether the agricultural machinery is complete or not is directly related to the economic benefits of China’s mechanization
Kollas et al (2015); Conrad et al (2016) studied crop rotationthrough the calculation of constraint equation and objective function, the problem was automatically generated and solved, which laid the foundation for the mathematical planning model of agricultural machinery
According to the actual planting requirements and characteristics of XPCC, combined with other information obtained, the model has a positive effect on the analysis results (Tables 1-3)
Summary
Agricultural mechanization as an important part of the whole management, whether the agricultural machinery is complete or not is directly related to the economic benefits of China’s mechanization. Tiechuang et al (2018) only by setting up agricultural machinery reasonably and reducing the cost input as much as possible, can we realize the maximization of economic benefits. There are many calculation methods about agricultural machinery. With the development of science and technology in China, the related engineering technology is widely used in the field of agricultural machinery. The advent of the Internet era has promoted the application of computer in the mathematical planning model of agricultural machinery. Lang et al (2018) in order to improve the economic benefits of agricultural machinery allocation, the working time and workload of the
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