Machine learning-based hyperspectral and rgb discrimination of three polyphagous fungi species grown on culture media

HIGHLIGHTS

• who: Jan Piekarczyk et al. from the Faculty of Geographic and Geological Sciences, Adam Mickiewicz University, Poznań, Poland have published the research: Machine Learning-Based Hyperspectral and RGB Discrimination of Three Polyphagous Fungi Species Grown on Culture Media, in the Journal: Agronomy 2022, 1965 of /2022/
• what: The research showed the possibility of distinguishing the analysed based on hyperspectral curves and RGB images and assessing this differentiation using machine learning statistical methods (extreme boosting machine with bootstrap simulation). The example illustrating the use of remote sensing for R. solani discrimination is the study of Reynolds . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.