Artificial Intelligence for Agricultural and Economic Planning

EasyChair Preprint no. 13166

Abstract

In this project, we will illustrate an application of AI methods for agricultural and economic planning. In the first step, we will first focus on the agriculture sector and create a system which determines the type of crop and cultivation area to the farmers based on their preferences. Next we will integrate industry to the economic planning and utilize input/output relationships across different sectors of the industry. The industrial planning problem determines the quantity of industrial products in each sector and also to compute the industrial demand for agricultural goods. We formulate agricultural and industrial planning as multi-objective constraint optimization problem and use Constraint Programming, Integer Programming, Answer Set Programming and heuristic algorithms for solution. Long-term objective of this project is to develop a computational economic system which can handle production, consumption, logistics in a single country as well as in the international economy.

Keyphrases: Agricultural Planning, Constraint Optimization, Economic planning, economic systems, Sectoral Planning in Industry

@Booklet{EasyChair:13166,
  author = {Yusuf Izmirlioglu},
  title = {Artificial Intelligence for Agricultural and Economic Planning},
  howpublished = {EasyChair Preprint no. 13166},

  year = {EasyChair, 2024}}