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Izvorni znanstveni članak
https://doi.org/d7.0304

Machine Learning on Minimizing Irrigation Water for Lawns

Weiqing Gu ; Harvey Mudd College, 301 Platt Boulevard, Claremont, California 91711, USA
Zhaocheng Yi ; Pitzer College, 1050 N Mills Ave, Claremont, California 91711, USA

Puni tekst: engleski, pdf (2 MB) str. 701-714 preuzimanja: 26* citiraj
APA 6th Edition
Gu, W. i Yi, Z. (2020). Machine Learning on Minimizing Irrigation Water for Lawns. Journal of Sustainable Development of Energy, Water and Environment Systems, 8 (4), 701-714. Preuzeto s https://hrcak.srce.hr/241180
MLA 8th Edition
Gu, Weiqing i Zhaocheng Yi. "Machine Learning on Minimizing Irrigation Water for Lawns." Journal of Sustainable Development of Energy, Water and Environment Systems, vol. 8, br. 4, 2020, str. 701-714. https://hrcak.srce.hr/241180. Citirano 29.09.2020.
Chicago 17th Edition
Gu, Weiqing i Zhaocheng Yi. "Machine Learning on Minimizing Irrigation Water for Lawns." Journal of Sustainable Development of Energy, Water and Environment Systems 8, br. 4 (2020): 701-714. https://hrcak.srce.hr/241180
Harvard
Gu, W., i Yi, Z. (2020). 'Machine Learning on Minimizing Irrigation Water for Lawns', Journal of Sustainable Development of Energy, Water and Environment Systems, 8(4), str. 701-714. Preuzeto s: https://hrcak.srce.hr/241180 (Datum pristupa: 29.09.2020.)
Vancouver
Gu W, Yi Z. Machine Learning on Minimizing Irrigation Water for Lawns. Journal of Sustainable Development of Energy, Water and Environment Systems [Internet]. 2020 [pristupljeno 29.09.2020.];8(4):701-714. Dostupno na: https://hrcak.srce.hr/241180
IEEE
W. Gu i Z. Yi, "Machine Learning on Minimizing Irrigation Water for Lawns", Journal of Sustainable Development of Energy, Water and Environment Systems, vol.8, br. 4, str. 701-714, 2020. [Online]. Dostupno na: https://hrcak.srce.hr/241180. [Citirano: 29.09.2020.]

Sažetak
Conserving water has always been very important for California especially during drought seasons, due to the fact that California geographically consists most of the hot and dry deserts. The goal of this project is to create an automatic recommendation irrigation system for the purpose of minimizing water use but keeping lawn grass still green. In this project, a mathematical model has been developed and big data analytic techniques have been applied to achieve the goal using the lawns of Harvey Mudd College as an example. The major results of this project include a smart irrigation
algorithm by taking weather conditions and human’s induced irrigation patterns and an application to notify the user the irrigation rate calculated automatically by the newly developed algorithm. The method here is scalable to different lawns whether owned by an individual or by an organization as long as there is historical irrigation data available. In conclusion, this method saves money, minimizes water pollution, and preserves water resources especially for drought regions in the world.

Ključne riječi
Energy saving; Smart irrigation system; Machine learning; Data analytics; Emerging needs; Saving water; Application.

Hrčak ID: 241180

URI
https://hrcak.srce.hr/241180

Posjeta: 59 *