Artificial neural network-based model to predict the effect of γ-aminobutyric acid on salinity and drought responsive morphological traits in pomegranate

HIGHLIGHTS

• who: Saeedeh Zarbakhsh from the DepartmentShiraz University have published the Article: Artificial neural network-based model to predict the effect of u03b3-aminobutyric acid on salinity and drought responsive morphological traits in pomegranate, in the Journal: Scientific Reports Scientific Reports
• what: The aim of this study is to investigate the effect of exogenous GABA for predicting the morphological traits of pomegranate plants (e_g, CD, PH, LLI, LWI, and LAI) under drought and salinity stress.
• how: In this study two of the most commonly-known feed-forward ANNs including MLP and RBF were employed . . .
  

   

  

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