Predictive Maintenance in Smart Agriculture Using Machine Learning : A Novel Algorithm for Drift Fault Detection in Hydroponic Sensors
The success of Internet of Things solutions allowed the establishment of new applications such as smart hydroponic agriculture. One typical problem in such an application is the rapid degradation of the deployed sensors. Traditionally, this problem is resolved by frequent manual maintenance, which i...
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| Format: | Others |
| Language: | English |
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Mittuniversitetet, Institutionen för informationssystem och –teknologi
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42270 |