Analysis of economic indicators and application of quantitative methods in planning of seeding

Abstract

The choice of agricultural crops for sowing and the planning of yields and economic results is realized in conditions of uncertainty and risk. The factors that contribute most to the uncertainty in achieving yields in agricultural production can be quantified using the method of fuzzyfication. The method based on the unique assessment of criteria represents an innovative approach to solving uncertainty in agricultural production. A key feature of this method is its ability to treat criteria as fuzzy scores and to allow their aggregation to make a final yield planning decision. In the paper, 15 main criteria were chosen that influence the planning of yield when sowing sage, nettle and rye. Based on economic indicators, the economic analysis does not numerically describe the impact of uncertainty, which in agricultural production can have an inestimable importance on realized yields and incomes. The method used is a suitable tool for analysis and planning in agriculture, it enables effective treatment of uncertainty and competing criteria, providing farmers with a reliable basis for making decisions about yield planning.

Keywords

• evaluation method
• fuzzy sets
• yield planning
• uncertainty