Big data approach improves on-farm trial insights
| dc.contributor.author | Easton, Julia | |
| dc.date.accessioned | 2025-06-07T04:44:55Z | |
| dc.date.available | 2025-06-07T04:44:55Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/97893 | |
| dc.description.abstract |
Spatial analysis within a paddock helps to increase the effectiveness of on-farm trials by improving their placement and the subsequent selection of treatment options | |
| dc.title | Big data approach improves on-farm trial insights | |
| dc.type | Report | |
| dcterms.source.number | 171 | |
| dcterms.source.title | Ground Cover supplement: Analytics, Data and Phenomics | |
| dc.date.updated | 2025-06-07T04:44:52Z | |
| curtin.department | School of Molecular and Life Sciences (MLS) | |
| curtin.accessStatus | Fulltext not available | |
| curtin.faculty | Faculty of Science and Engineering | |
| curtin.contributor.orcid | Easton, Julia [0000-0002-2750-8395] | |
| curtin.contributor.scopusauthorid | Easton, Julia [57198215451] | |
| curtin.repositoryagreement | V3 |