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.
초록·키워드
In this study, we present a new hydroponic system to grow plants in an optimized way thanks to latest sensorisation and IoT features and state of the art machine learning algorithms. It has an integrated array of environmental sensors and a nutrient delivery system with an automated nutrient delivery mechanism that controls critical growth parameters like pH, nutrient levels and light intensity. The results of this fine tuning control are that the optimal conditions for maximizing the plant growth and health in real time are achieved. Since there was so much test and development to do, this system has been extensively tested and shown to result in faster growing, healthier plants than in a regular hydroponics setup. Its innovative design is suitable for both small indoor home gardeners or larger-scale commercial agriculture and provides a user friendly and very efficient solution. This hydroponic system has the potential to bring about many advantages to sustainable agriculture by advancing the ways in which urban farming is conducted. Being an advanced technology having its integration into the development of green technologies in the field of urban agriculture ensures that it can become a promising tool in providing more sustainable and efficient food production methods as demand in the green techniques increase.
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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