Author(s)

Yan Guo, Zhilin Su, Xize Lin

Corresponding Author

Yan Guo

Abstract

With the continuous development and progress of scientific knowledge and intelligent technology, the combination of agriculture and science and technology is one of the development trends of agricultural digitisation and intellectualisation. As an important primary industry of the country, the production of crops is one of the most important weights affecting the country's GDP, and dealing with the cultivation of all kinds of agricultural products plays a pivotal role in maximising the economic benefits, and is an issue that must be considered by the country's macro-control. It is an issue that must be considered by the national macro-control. In this paper, based on the sales data of some crops in 2023, firstly, the outliers are identified through box-and-line diagrams, and the identified outliers are rationalised. Then the optimisation problem based on static selling price and sales volume is considered, and 0-1 variables are introduced to constrain whether the crops are planted in the corresponding plots, and the optimal binary search tree is used to solve the corresponding model. Finally, a planning model based on Monte Carlo algorithm is developed to optimise the planting strategy of agricultural products for the period of 2024-2030, taking into account the effects of the market and the natural environment, so as to maximise the profit in the next seven years.

Keywords

Monte Carlo; 0-1 planning; Binary trees; Planting strategy optimisation