首页|Researchers from German Center for Integrative Biodiversity Research (iDiv) Hall e-Jena-Leipzig Publish Findings in Machine Learning (Enhanced VNIR and MIR proxi mal sensing of soil organic matter and PLFA-derived soil microbial properties .. .)
Researchers from German Center for Integrative Biodiversity Research (iDiv) Hall e-Jena-Leipzig Publish Findings in Machine Learning (Enhanced VNIR and MIR proxi mal sensing of soil organic matter and PLFA-derived soil microbial properties .. .)
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
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting from Leipzig, Germany, by N ewsRx journalists, research stated, "Portable visible-to-near-infrared (VNIR) an d mid-infrared (MIR) spectroscopy coupled with machine learning can provide deta iled and inexpensive information on various key soil properties. However, on-sit e VNIR and MIR proximal sensing applications are hampered by soil moisture and p article size variations, which distort reflectance spectra collected on field-co ndition soils and impede the integration of established MIR and VNIR soil spectr al libraries in predictive models for field measurements."
German Center for Integrative Biodiversi ty Research (iDiv) Halle-Jena-LeipzigLeipzigGermanyEuropeCyborgsEmergi ng TechnologiesMachine Learning
NETL
NSTL
