首页|Studies from Shanghai Jiao Tong University Have Provided New Data on Machine Learning (Machine Learning Assisted Water Man- agement Strategy On a Self-sustaining Seawater Desalination and Vegetable Cultivation Platform)
Studies from Shanghai Jiao Tong University Have Provided New Data on Machine Learning (Machine Learning Assisted Water Man- agement Strategy On a Self-sustaining Seawater Desalination and Vegetable Cultivation Platform)
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NETL
NSTL
Elsevier
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “To enable vegetable cultivation in conditions lacking freshwater and soil, such as islands and offshore platforms, this study proposes to combine interfacial solar evaporation with hydroponic techniques to set up an electricityfree self-sustaining desalination and cultivation platform. To maintain a dynamic balance between freshwater supply and demand on the platform, we investigate the relationship between water consumption in hydroponic lettuce cultivation and meteorological conditions such as temperature, humidity, and solar radiation.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Oceanic Interdisciplinary Program of Shanghai Jiao Tong University, Science & Technology Commission of Shanghai Municipality (STCSM).
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai Jiao Tong University
NETL
NSTL
Elsevier
