with the collaboration of Iranian Society of Mechanical Engineers (ISME)
Volume 15 (2025)
Volume 14 (2024)
Volume 13 (2023)
Volume 12 (2022)
Volume 11 (2021)
Volume 10 (2020)
Volume 9 (2019)
Volume 8 (2018)
Volume 7 (2017)
Volume 6 (2016)
Volume 5 (2015)
Volume 4 (2014)
Volume 3 (2013)
Volume 2 (2012)
Volume 1 (2011)
Image Processing
Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning

H. Koroshi Talab; D. Mohammad Zamani; M. Gholami Parashkoohi

Volume 15, Issue 1 , March 2025, , Pages 65-79

https://doi.org/10.22067/jam.2024.86571.1226

Abstract
  Diagnosing plant diseases is an important part of crop management and can significantly affect the quantity and quality of production. Traditional methods of visual assessment by human observers are time-consuming, costly, and error-prone, making accurate diagnosis and differentiation between various ...  Read More

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