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Research on Key Technologies of big data analysis in smart irrigation area
| Content Provider | Scilit |
|---|---|
| Author | Xuan, Wang Mimi, Guo Dengchang, Ma |
| Copyright Year | 2021 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science Several key data analysis technologies involved in irrigation area construction are discussed. A closed-loop large data management model for irrigation area is proposed, which includes data collection, data sharing, data management, data development and utilization. Five types of analysis, including statistical analysis, professional calculation, planning optimization, system simulation and intelligent algorithm, are compared, and an abnormal water intake behavior early warning, water supply and demand forecast, water-saving irrigation area evaluation and installation are constructed. Four typical application scenarios, such as intelligent research and judgment of abnormal operation, have certain reference value for promoting the construction of intelligent irrigation area. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/768/1/012111/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/768/1/012111 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 768 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2021-05-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |