Planting Strategy Modelling Based on Linear Regression with Complex Constraints and Stochastic Simulation
		
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		DOI: 10.25236/icmmct.2025.011
		
			Author(s)
			Jiyin Han, Jialu Xu, Yaqi Xu
		 
		
			
Corresponding Author
			Jiyin Han		
		
			
Abstract
			With the continuous development of crop-related science and technology, the optimisation of crop planting profits and the maximisation of resource utilisation has become a hot topic of the times. In this paper, based on the detailed data information provided, a mathematical model is established for analysis, so as to formulate reasonable crop cultivation varieties and area plots, and promote the maximisation of profit and resource utilisation. This paper firstly establishes an optimization model with complex constraints based on the total crop production in 2023; takes 5%~7.5% as the interval, simulates the expected sales volume and change data of other crops, and then takes this as the new constraint, combines with the previous optimization model, establishes an optimization model that introduces stochastic simulation; finally, it introduces the substitutability and complementarities of various types of crops, and establishes an optimization model through Spearman's correlation coefficient, so as to maximize profit and resource utilization.		
		
			
Keywords
			Optimal planting strategy; Optimisation model; Spearman's correlation coefficient method; Linear regression model