Research Reports
KREI publishes reports through medium- and long-term research related to agricultural and rural policies, and through studies in various fields to promptly respond to current issues.
A Study on Enhancing AI-Based Forecasting Methods for Garlic Yield Prediction
2026.08.24
140
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AuthorKim, Wontae
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Publication Date2026.08.24
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Original
Purpose of Research
○ The objective of this study is to predict the national average yield of garlic using artificial intelligence(AI) techniques by integrating structured and unstructured data, such as field-measured growth survey data and drone-acquired imagery with meteorological variables. The predicted results are compared with actual values to assess accuracy, and based on these findings, strategies for advancing observation methodologies that can be utilized by the Outlook Team are proposed.
(For more information, please refer to the report.)
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