인공지능(AI) 기반 마늘 생산량 예측 고도화 방안 연구

Abstract

본 연구에서는 농업관측센터에서 생성된 마늘의 생육실측 및 드론 촬영 데이터, 필지별 기상정보를 활용하여 인공지능(AI) 기반 마늘 생산량 예측 고도화 방안을 모색하고자 한다.

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.

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