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

Desigining of Computer Vision Algorithm to Detect Sweet Pepper for Robotic Harvesting Under Natural Light

A. Moghimi; M. H. Aghkhani; M. R. Golzarian

Volume 5, Issue 1 , 2015, , Pages 82-91


  In recent years, automation in agricultural field has attracted more attention of researchers and greenhouse producers. The main reasons are to reduce the cost including labor cost and to reduce the hard working conditions in greenhouse. In present research, a vision system of harvesting robot was developed ...  Read More

Performance Analysis of a Solar Dryer Equipped with a Recycling Air System and Desiccant Chamber

M. H. Aghkhani; M. H. Abbaspour-Fard; M. R. Bayati; H. Mortezapour; S. I. Saedi; A. Moghimi

Volume 3, Issue 2 , 2013, , Pages 92-103


  Drying is a high energy consuming process. Solar drying is one of the most popular methods for dehydration of agricultural products. In the present study, the performance of a forced convection solar dryer equipped with recycling air system and desiccant chamber was investigated. The solar dryer is comprised ...  Read More