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Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves
BACKGROUND: The demand for effective use of water resources has increased because of ongoing global climate transformations in the agriculture science sector. Cost-effective and timely distributions of the appropriate amount of water are vital not only to maintain a healthy status of plants leaves b...
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| Publicado en: | Plant Methods |
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| Autores principales: | , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6859614/ https://ncbi.nlm.nih.gov/pubmed/31832080 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-019-0522-9 |
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