Automatic large-scale vegetable planting enterprise planting plan generation method

Abstract

The invention discloses an automatic large-scale vegetable planting enterprise planting plan generation method. The method includes the steps that data are input and data initialization is conducted; preprocessing and validity verification are conducted on the input data; according to customer order requirements, planting places and planting time are arranged for all orders through an intelligent heuristic algorithm, and an enterprise planting plan scheduling result is generated; the enterprise planting plan scheduling result is visually displayed. According to the method, satisfaction of the customer order requirements of a vegetable planting enterprise serves as a purpose, factors such as expected prices, production periods, labor and material cost, land crop rotation and transportation distance of various vegetable varieties are fully considered, it is guaranteed that the customer order requirements are satisfied, and meanwhile, a worked-out planting plan can make enterprise economic benefits maximum. By the adoption of the method, large-scale vegetable planting enterprise vegetable planting plan arrangement efficiency can be effectively improved, and the automation level and the intelligence level of arrangement work are improved.

Description

technical field [0001] The invention belongs to the field of vegetable planting plan formulation, and in particular relates to a method for realizing automatic programming of vegetable planting plans by utilizing optimization theory, decision support system theory and intelligent algorithms. Background technique [0002] When planning and scheduling vegetable planting, it is necessary to comprehensively consider the technical level of employees, regional climate conditions, soil conditions, facilities and equipment, storage and preservation, market demand and other influencing factors. The problem of planting planning and scheduling for vegetable planting enterprises is essentially a nonlinear constraint. optimization problem. First of all, it is necessary to determine the planting area of ​​vegetables according to the local production conditions, vegetable types or varieties, labor costs, material costs, and technical difficulty; secondly, it is necessary to consider the ba...

AI Technical Summary

Problems solved by technology

Since there are many factors to be considered when formulating a vegetable production plan, how to formulate a scientific and reasonable vegetable production plan under resource constraints is an extremely complicated and cumbersome task

[0003] The traditional method for enterprises to formulate vegetable production plans is to arrange them manually according to personal experience, which has high requirements for planners. This method is not only time-consuming and labor-intensive, but also because the artificially arranged planting plans often cannot take into account the benefits and production capacity at the same time. , cost saving, region, planting facilities and reasonable planting mode and other requirements, resulting in the planned planting plan is not scientific and reasonable

As the current large-scale vegetable production enterprises continue to develop in the direction of scale, specialization, intensification, and standardization, the traditional manual arrangement method is difficult to meet the needs of scientific management of enterprises

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