인공지능 기술 기반 딸기 최적 생장 조절 시스템 연구 = A Study on the Optimal Growth Control System of Strawberry Based on Artificial Intelligence Technology

국문 초록 (Abstract)

본 연구는 인공지능 기술을 활용하여 딸기(Fragaria × ananassa) 생장 조건을 최적화 하는 방법을 제안한다. 딸기 재배는 기후 변화와 같은 외부 요인에 매우 민감하게 반응 하며, 이러한 변화는 수확량과 품질에 큰 영향을 미칠 수 있다. 본 연구의 주요 목표는 딸기의 생장 상태를 정확히 분석하고 환경 변화 예측 제어를 통해 최적의 생장 환경을 조성하는 것이다. 이를 위해 딥러닝 기술 중 합성곱 신경망(CNN, Convolutional Neural Networks)과 장단기 메모리(LSTM, Long Short-Term Memory) 모델을 사용하여 이미지 데이터와 환경 데이터를 분석한다. CNN은 딸기 잎과 줄기, 과일의 이미지를 통해 생장 상태를 판별하고, LSTM은 온도, 습도 의 시계열 데이터를 분석하여 미래의 환경 변화를 예측한다.
본 연구는 인공지능 기반의 딸기 최적 생장 조절 시스템을 통해 농가에서 딸기 재배의 생산성과 품질을 향상시키는 것을 목표로 한다. 시스템은 실시간으로 데이터를 모니터링하고 분석하여 최적의 재배 환경을 유지하며, 이를 통해 딸기 재배 과정에서 발생할 수 있는 다양한 문제를 사전에 예방할 수 있다.
최종적으로, 본 연구는 기존의 복합 환경 제어 시스템과 비교하여 인공지능 기반 시스템 의 효과를 평가하고, 이를 통해 더 나은 딸기 재배 방법을 제시하고자 한다.

목차 (Table of Contents)

• I. 서 론 ································································································································ 1
• II. 관련 연구 ······················································································································· 4
• 1. 딸기의 영양 생장과 생식 생장 ··················································································· 4
• 2. 인공지능 ··························································································································· 7
• 3. 딥러닝을 이용한 이미지 분석 및 온도 예측 연구 ··············································· 12
• III. 연구 설계 ··················································································································· 15
• 1. 연구 목적 ······················································································································· 15
• 2. 딸기 최적 생장 조절 시스템 구성 ··········································································· 16
• 3. 테스트 작물 ··················································································································· 17
• IV. 데이터 수집 및 전처리 과정 ················································································· 18
• 1. 데이터 수집 방법 ········································································································· 18
• 2. 이미지 데이터 전처리 ································································································· 22
• 3. 환경 데이터 전처리 ····································································································· 27
• V. 딸기 최적 생장 조절 시스템 ·················································································· 30
• 1. 이미지 분석을 통한 딸기 생장 상태 판별 알고리즘 ··········································· 30
• 2. 딸기 최적 생육 환경 제어 시스템 구현 ································································· 39
• VI. 실험 결과 ····················································································································· 50
• 1. 성능지표 ························································································································· 50
• 2. 실험결과 ························································································································· 53
• Ⅶ. 결론 ······························································································································· 56
• 참고문헌 ······························································································································ 59