Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms
Abstract Current methods in measuring maize (Zea mays L.) southern rust (Puccinia polyspora Underw.) and subsequent crop senescence require expert observation and are resource-intensive and prone to subjectivity. In this study, unoccupied aerial system (UAS) field-based high-throughput phenotyping (...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2022-05-01
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| Serier: | Scientific Reports |
| Online adgang: | https://doi.org/10.1038/s41598-022-11591-0 |
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