인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
A smart beehive system integrating environmental control and image recognition was developed for real-time and automated monitoring of bee colony activity. The system continuously measured temperature, humidity, CO₂ concentration, and feed weight, and automatically activated a heater (winter mode) or fan(summer mode) according to preset thermal thresholds. An RGB camera installed above the hive entrance captured bee traffic, and a MobileNetV2-based deep-learning algorithm quantified incoming and outgoing bees. Two detection algorithms were compared: Algorithm 1 (three-zone model) and Algorithm 2 (four-zone model with a boundary zone for hovering correction). Experimental validation was conducted in greenhouse environments during summer and winter. The environmental control algorithm maintained internal temperature within ±2-3°C, demonstrating stable heater and fan operation. Fan activation significantly reduced CO2 concentration (1,281 ppm → 758 ppm, p<0.01), indicating effective ventilation. Algorithm 2 achieved higher detection accuracy than Algorithm 1 for in-, out-, and total-counts(71.2±36.2%, 75.0±27.0%, and 73.1±31.5%; p<0.001). Detection accuracy was greater for Bombus terrestris than for Apis mellifera due to differences in body size and hive-entrance structure. The developed system automatically stabilized the hive microenvironment while quantifying bee activity with high accuracy. These findings provide a technological basis for integrating environmental regulation and behavioral monitoring in managed pollinator systems and contribute to the development of precision apiculture and sustainable pollination management.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-096395554
