首页|Reports Summarize Machine Learning Research from Rothamsted Research (Hyperspect ral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat)
Reports Summarize Machine Learning Research from Rothamsted Research (Hyperspect ral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Current study results on artificial in telligence have been published. According to news reporting out of Harpenden, Un ited Kingdom, by NewsRx editors, research stated, "Accurate detection of drought stress in plants is essential for water use efficiency and agricultural output. Hyperspectral imaging (HSI) provides a non-invasive method in plant phenotyping , allowing the long-term monitoring of plant health due to sensitivity to subtle changes in leaf constituents." Funders for this research include University of Mohammed VI Polytechnic; Biotech nology And Biological Sciences Research Council.
Rothamsted ResearchHarpendenUnited K ingdomEuropeCyborgsEmerging TechnologiesMachine LearningNitrogen
NETL
NSTL
