We are excited to share the latest research from the Ted4Lat team and Ginta Majore from Vidzeme University of Applied Sciences, published under the title “Time Series Forecasting of Price of Agricultural Products Using Data Science”.
The article focuses on forecasting prices for agricultural products, with a specific emphasis on potato prices as a case study. The research aims to identify and apply the most effective forecasting models by leveraging advanced data science techniques. Using time series analysis, the study examines historical price data to predict future price fluctuations, providing valuable insights for farmers, suppliers, and policymakers.
Accurate price forecasting plays a crucial role in the agricultural sector, helping to optimize production planning, manage risks, and ensure market stability. Our research highlights the potential of data-driven models to enhance decision-making and offer practical solutions for the challenges the agricultural industry faces.
You can access the full article here.
How to Cite:
Kmytiuk, T., Majore, G., & Bilyk, T. (2024). Time series forecasting of price of the agricultural products using data science. Agricultural and Resource Economics: International Scientific E-Journal, 10(3), 5-33. https://doi.org/10.51599/are.2024.10.03.01
Stay tuned for more innovative TED4Lat research as we continue to explore data science solutions to real-world challenges!
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2024/10/02
