A novel transfer learning framework for sorghum biomass prediction using uav-based remote sensing data and genetic markers

HIGHLIGHTS

• who: Taojun Wang from the Edinburgh Napier University, United Kingdom have published the research: A novel transfer learning framework for sorghum biomass prediction using UAV-based remote sensing data and genetic markers, in the Journal: (JOURNAL)
• what: The second approach focuses on the development of empirical models, such as support vector regression (SVR), random forest (RF), and partial least squares regression (PLSR), which depend heavily on training sample size and RS data type (Fassnacht et_al, 2014). The aim of this strategy is to identify data in the source domain similar to the target domain and . . .
  

   

  

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