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


  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

Vis-NIR hyperspectral imaging and multivariate analysis for prediction of the moisture content and hardness of Pistachio kernels roasted in different conditions

T. Mohammadi Moghaddam; S. M. A. Razavi; M. Taghizadeh; A. Sazgarnia; B. Pardhan

Volume 5, Issue 2 , 2015, , Pages 281-291


  Introduction: Pistachio nut is one of the most delicious and nutritious nuts in the world and it is being used as a salted and roasted product or as an ingredient in snacks, ice cream, desserts, etc. (Maghsudi, 2010; Kashaninejad et al. 2006). Roasting is one of the most important food processes which ...  Read More