Research On Crop Planting Planning Based on Multiple Constraints

Abstract

It is very important to plan the planting situation of different crops in different periods, types of cultivated land, and other limiting factors reasonably. In recent years, the problem of crop planting planning has not been common. This article aims to gradually increase the constraints from general to special situations, and ultimately complete a crop planting plan that is close to daily life. In this article, this model is gradually complicated in specific situations to make it as much as possible in line with actual planting conditions. In the end, a long-term planting plan for 41 small crops under the three major categories of vegetables, grains, and fungi on four types of farmland and two types of greenhouses was achieved. Specifically, this method uses an approximate exponential sigmoid function to fit the unit selling price and total yield of crops. At the same time, when refining the consideration of the problem, multiple functions are defined for analysis, such as using the tanh function to fit the area efficiency function, and simulating uncertain changes using the Brownian motion model. On the other hand, the Delphi method and the Independent Weight Grey Relational Analysis method are comprehensively used in determining weights. In the final search for the optimal solution, the Monte Carlo method is used to randomly select several planting scenarios and continuously optimize until the optimal solution is found.