Publication:
Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform
Date
| dc.contributor.author | Shahrimie Mohd Asaari, Mohd | |
| dc.contributor.author | Mertens, Stien | |
| dc.contributor.author | Dhondt, Stijn | |
| dc.contributor.author | Inze, Dirk | |
| dc.contributor.author | Wuyts, Nathalie | |
| dc.contributor.author | Scheunders, Paul | |
| dc.contributor.imecauthor | Scheunders, Paul | |
| dc.date.accessioned | 2021-10-27T17:57:52Z | |
| dc.date.available | 2021-10-27T17:57:52Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 0168-1699 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/33973 | |
| dc.identifier.url | https://doi.org/10.1016/j.compag.2019.05.018 | |
| dc.source.beginpage | 749 | |
| dc.source.endpage | 758 | |
| dc.source.journal | Computers and Electronics in Agriculture | |
| dc.source.volume | 162 | |
| dc.title | Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
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