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 a cultivation condition for increasing an active ingredient content within a crop, that has an effect of enabling a user to obtain much more active ingredients by cultivating the relevant crop by extracting and providing a cultivation condit...

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Bibliographische Detailangaben
Hauptverfasser:	JEONG DAESIK, JINCHEOL WOO, YOON SUNGSOO
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	AGRICULTURE ANIMAL HUSBANDRY CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRAPPING WATERING
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Beschreibung
Zusammenfassung:	The present invention relates to a method for recommending a cultivation condition for increasing an active ingredient content within a crop, that has an effect of enabling a user to obtain much more active ingredients by cultivating the relevant crop by extracting and providing a cultivation condition that can increase the active ingredient content in a target crop using a recommendation model constructed with deep learning. A device comprises: a receiving part; and a processor. 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.