Name
Title | ||
|---|---|---|
Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle. |
Abstract | ||
|---|---|---|
•Design and development of an IoT application leveraging the fog computing paradigm.•Validation of the application in IoT enabled smart dairy farming scenario.•A real-world smart farm setup with a full dairy herd of 150 cows.•Blended clustering & classification ML model for early lameness detection in cattle.•Early lameness detection window of 3 days before visual signs, with 87% accuracy. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105286 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Smart dairy farming,Fog computing,Internet of Things (IoT),Cloud computing,Smart farm,Data analytics,Microservices,Machine learning,Clustering,Classification,Data-driven | Journal | 171 |
Issue | ISSN | Citations |
C | 0168-1699 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohit Taneja | 1 | 14 | 2.88 |
| John Byabazaire | 2 | 3 | 1.38 |
| Nikita Jalodia | 3 | 2 | 2.39 |
| Alan Davy | 4 | 133 | 17.60 |
| Cristian Olariu | 5 | 2 | 1.03 |
| Paul Malone | 6 | 1 | 0.35 |