with the collaboration of Iranian Society of Mechanical Engineers (ISME)
Spectral Feature Selection from the Hyperspectral Dataset to Identify Pistachio Leaves Infected by Psylla

A. Moghimi; A. Sazgarnia; M. H. Aghkhani

Volume 12, Issue 2 , June 2022, , Pages 159-167

https://doi.org/10.22067/jam.v12i2.82089

Abstract
  IntroductionPistachio production has been adversely affected by Psylla, which is a devastating insect. The primary goal of this study was to select sensitive spectral bands to distinguish pistachio leaves infected by Psylla from healthy leaves. Diagnosis of psylla disease before the onset of visual cues ...  Read More