An Artificial Intelligence-Powered Environmental Control System for Resilient and Efficient Greenhouse Farming
學年 113
學期 1
出版（發表）日期 2024-12-13
作品名稱 An Artificial Intelligence-Powered Environmental Control System for Resilient and Efficient Greenhouse Farming
作品名稱（其他語言）
著者 Meng-Hsin Lee; Ming-Hwi Yao; Pu-Yun Kow; Bo-Jein Kuo; Fi-John Chang
單位
出版者
著錄名稱、卷期、頁數 Sustainability 16(24)
摘要 The rise in extreme weather events due to climate change challenges the balance of supply and demand for high-quality agricultural products. In Taiwan, greenhouse cultivation, a key agricultural method, faces increasing summer temperatures and higher operational costs. This study presents the innovative AI-powered greenhouse environmental control system (AI-GECS), which integrates customized gridded weather forecasts, microclimate forecasts, crop physiological indicators, and automated greenhouse operations. This system utilizes a Multi-Model Super Ensemble (MMSE) forecasting framework to generate accurate hourly gridded weather forecasts. Building upon these forecasts, combined with real-time in-greenhouse meteorological data, the AI-GECS employs a hybrid deep learning model, CLSTM-CNN-BP, to project the greenhouse’s microclimate on an hourly basis. This predictive capability allows for the assessment of crop physiological indicators within the anticipated microclimate, thereby enabling preemptive adjustments to cooling systems to mitigate adverse conditions. All processes run on a cloud-based platform, automating operations for enhanced environmental control. The AI-GECS was tested in an experimental greenhouse at the Taiwan Agricultural Research Institute, showing strong alignment with greenhouse management needs. This system offers a resource-efficient, labor-saving solution, fusing microclimate forecasts with crop models to support sustainable agriculture. This study represents critical advancements in greenhouse automation, addressing the agricultural challenges of climate variability.
關鍵字 greenhouse; artificial intelligence (AI); microclimate forecast; gridded weather forecast; environmental control; photosynthesis rate
語言 en
ISSN
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128615 )