Method device and program of recommending cultivation conditions for increase the content active ingredients in crop

The present invention relates to a method for recommending cultivation conditions for increasing a content of active ingredients in crops, which extracts and provides cultivation conditions which can increase the content of active ingredients in target crops using a recommendation model built with deep learning, and thus the user can obtain more active ingredients by cultivating the corresponding crops. The method includes the steps of: receiving, by a computer, information on the target crops; and extracting, by the computer, the cultivation conditions for increasing the content of the active ingredient in the target crops by applying the received target crops information to at least one recommendation model built with the deep learning. 본 발명은 작물 내 활성성분 함량 증가를 위한 재배 조건 추천 방법에 관한 것으로, 딥러닝으로 구축된 추천 모델을 이용하여 대상 작물 내 활성성분 함량을 증가시킬 수 있는 재배 조건을 추출하여 제공함으로써, 사용자가 해당 작물 재배하여 더 많은 활성성분을 획득할 수 있도록 하는 효과가 있다.