Abstract
This article presents an innovative approach to forecasting in the field of agriculture. The developed algorithm and methodology for choosing forecasting methods are aimed at the best possible determination of suitable methods, which, in turn, should improve the quality and reliability of the forecasts obtained. The proposed method allows us to evaluate both the accuracy and reliability of various forecasts, depending on the method used. In order to compare forecasting methods and identify the most effective ones, it is necessary to develop a system of qualification, selection and quality assessment that allows determining the effectiveness of forecasting methods for changes and trends in agriculture. Data smoothing in agriculture is carried out using exponential and simple moving averages, which made it possible to obtain high-quality and multivariate forecasts
Keywords
References
- Antokhonova, I.V. (2004). Methods of forecasting socio-economic processes: Textbook. Ulan-Ude: Publishing House of VSGTU.
- Blekhtsin, I.Y., & Litovka, O.P. (2000). Forecasting socio-economic development of regions: Textbook. Saint Petersburg: SPbGUEF.
- Vishnev, S.M. (1999). Fundamentals of complex forecasting. Moscow: Progress.
- Yanch, E. (1970). Forecasting scientific and technological progress. Moscow: Progress.
- Lichko, K.P. (2013). Forecasting and planning the development of the agro-industrial complex. Moscow: Ekonomika.
- Butakova, M.M. (2010). Economic forecasting: Methods and techniques of practical calculations: Textbook (2nd ed.). Moscow: KNORUS.
- Eremenko, O.V., & Skripkina, E.V. (2023). Methodologies of forecasting in the field of agriculture. Bulletin of NGIEI, 10(149), 78-88.