Rice yield prediction in different growth environments using unmanned aerial vehicle-based hyperspectral imaging

HIGHLIGHTS

• who: Junichi Kurihara et al. from the Space Information Center, Hokkaido Information University, Ebetsu, Japan have published the paper: Rice Yield Prediction in Different Growth Environments Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging, in the Journal: (JOURNAL) of 22/05/2020
• what: The aims of this and seedling growths. This study shows that yield prediction models can be constructed with a sufficiently high accuracy (R2=0.858) using a simple regression model for different growth environments without utilizing meteorological data by selecting an appropriate growth stage and spectral bands.
• how: Their results showed . . .
  

   

  

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