약용작물의 유효성분 함량 예측을 위한 기계학습 모형의 최적화 및 요인 분석

다국어 초록 (Multilingual Abstract)

Biochemical components of plants have less side effects and chemical resistance than synthetic chemical components. Moreover, medicinal crops are attracting attention due to the development of herbal medicine technology. In addition, since intensive cultivation of medicinal crops is possible and cash exchangeability is expected, the impact on the agricultural economy is increasing. Therefore, in this paper, we confirm that the growth environment can affect the increase in active ingredient content through optimization of machine learning models, and propose a method to find the optimal growth environment through factor analysis. This paper selected wheatgrass as the target crop for the experiment. To determine whether the environment affects isoorientin, machine learning model was optimized, and factor analysis method is proposed to find a environment that can increase the content of isoorientin.