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인공지능을 이용한 파프리카 실내 양액 재배 시 발생하는 병해충 자동 검출
양희찬(Heechan Yang),이재수(Jaesu Lee),이현동(Hyundong Lee),김형석(Hyongsuk Kim) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.11
A method for the automatic detection of diseases/infestations in paprika cultivation using AI is investigated. Powdery mildew was the paprika disease observed during hydroponic cultivation in a greenhouse environment. The two-spotted-spider-mite was the pest. Paprika leaves with either the disease or the pest were automatically detected using a Faster R-CNN network architecture. The detection performance was high with mAP 96.76 %. The training and testing arrangements and the training data set are described in detail.