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  • 标题:An Intelligent Self Adaptive System to Automate the Sprinkler Control
  • 本地全文:下载
  • 作者:Jiahao Li ; Yu Sun ; Fangyan Zhang
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2017
  • 卷号:7
  • 期号:11
  • 页码:171-176
  • DOI:10.5121/csit.2017.71114
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:It has been seven years since California is in serious drought. The dam holds rare water, andfor some area the plants and people are suffered. While the technologies of desalination andreusing water is improving, it is significant if we solve the problem from the root, which isreducing water usage and saving water. Since eighty percent of water in California is used foragriculture and greening, it is efficient if we break through the system of irrigation. Currently,there are many ways to reduce watering in agriculture such as dropping water drops from pipesinstead of spraying water; however, there are now resolution addressing the system of privatewatering yard in communities. The sprinkler device that we designed can contribute to reducethe water that is sprayed through sprinkler by adjusting the status of sprinklers (turning on orturning off) base on real-time weather conditions (temperature and soil humidity). Ourpurpose is to reduce the spraying water as much as possible if the weather condition allowed.
  • 关键词:Sprinkler; Smart Control; Mobile App; Water Saving
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