https://scholars.lib.ntu.edu.tw/handle/123456789/631061
標題: | Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques | 作者: | Chen, Ting Hsuan Lee, Meng Hsin Hsia, I. Wen Hsu, Chia Hui Yao, Ming Hwi FI-JOHN CHANG |
關鍵字: | agricultural resilience; machine learning; smart microclimate-control system (SMCS); system dynamics; water–energy–food nexus | 公開日期: | 1-十二月-2022 | 出版社: | MDPI | 卷: | 14 | 期: | 23 | 來源出版物: | Water (Switzerland) | 摘要: | Agriculture is extremely vulnerable to climate change. Greenhouse farming is recognized as a promising measure against climate change. Nevertheless, greenhouse farming frequently encounters environmental adversity, especially greenhouses built to protect against typhoons. Short-term microclimate prediction is challenging because meteorological variables are strongly interconnected and change rapidly. Therefore, this study proposes a water-centric smart microclimate-control system (SMCS) that fuses system dynamics and machine-learning techniques in consideration of the internal hydro-meteorological process to regulate the greenhouse micro-environment within the canopy for environmental cooling with improved resource-use efficiency. SMCS was assessed by in situ data collected from a tomato greenhouse in Taiwan. The results demonstrate that the proposed SMCS could save 66.8% of water and energy (electricity) used for early spraying during the entire cultivation period compared to the traditional greenhouse-spraying system based mainly on operators’ experiences. The proposed SMCS suggests a practicability niche in machine-learning-enabled greenhouse automation with improved crop productivity and resource-use efficiency. This will increase agricultural resilience to hydro-climate uncertainty and promote resource preservation, which offers a pathway towards carbon-emission mitigation and a sustainable water–energy–food nexus. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143672082&doi=10.3390%2fw14233941&partnerID=40&md5=8c8230f18a5449fb9ed3caacbc9f47f2 https://scholars.lib.ntu.edu.tw/handle/123456789/631061 |
ISSN: | 2073-4441 | DOI: | 10.3390/w14233941 |
顯示於: | 生物環境系統工程學系 |
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