Early detection of bacterial blight in hyperspectral images based on random forest and adaptive coherence estimator

HIGHLIGHTS

• who: Yuqiang Wu and colleagues from the Department of Information and Technology, Nanjing Police College, Nanjing, China College of Engineering, Nanjing Agricultural University, Nanjing, China have published the paper: Early Detection of Bacterial Blight in Hyperspectral Images Based on Random Forest and Adaptive Coherence Estimator, in the Journal: Sustainability 2022, 13168 of 19/08/2022
• what: The study showed that the three wavelengths` photochemical reflection indices and anthocyanin reflection indices had excellent monitoring effects on yellow rust at the early-mid and mid-late growth stages. The results of the study show that the sensitive . . .
  

   

  

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