Autonomous real-time water quality sensing as an alternative to conventional monitoring to improve the detection of food, energy, and water indicators
Bibliographic Data
| ID | 13056026 |
|---|---|
| Authors | Ziqian Dong (0000-0003-3937-1311, New York Institute of Technology, corresponding author), Fang Li (0000-0001-9180-3615, New York Institute of Technology), Babak D Beheshti (New York Institute of Technology), Babak Beheshti, Alan R Mickelson (0000-0003-2529-8301, University of Colorado Boulder), Alan Mickelson, Marta Panero (0000-0002-9548-7135, New York Institute of Technology), Nada Anid (0000-0002-6933-8830, New York Institute of Technology) |
| Year | 2016 |
| Volume | 6 |
| Issue | 1 |
| Pages | 200-207 |
| Publication date | 2016-02-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Environmental Studies and Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2190-6491 • E-ISSN: 2190-6483 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s13412-016-0383-8 |
| OpenAlex | W2270158575 |
| Language | EN |
| References cited | 23 |
Computer network · Embedded system · Real-time computing · Wireless sensor network · Analytical Chemistry and Sensors · Biosensors and Analytical Detection · Computer Science · Water Quality Monitoring Technologies
| Highly cited | No |
|---|