۱- Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages,
https://doi.org/۱۰.۱۰۱۶/j.chemolab.۲۰۲۰.۱۰۴۱۴۷

۲- Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method,
https://doi.org/۱۰.۱۰۱۶/j.compag.۲۰۲۰.۱۰۵۶۴۳

۳- Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data,
https://doi.org/۱۰.۱۰۱۶/j.biosystemseng.۲۰۲۰.۰۴.۰۱۵

۴- Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions,
https://doi.org/۱۰.۳۳۹۰/rs۱۱۲۱۲۵۴۶

۵- Automatic Classification of Chickpea Varieties Using Computer Vision Techniques,
https://doi.org/۱۰.۳۳۹۰/agronomy۹۱۱۰۶۷۲

۶- Designing a Fruit Identification Algorithm in Orchard Conditions to Develop Robots Using Video Processing and Majority Voting Based on Hybrid Artificial Neural Network,
https://doi.org/۱۰.۳۳۹۰/app۱۰۰۱۰۳۸۳

۷- A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images,
https://doi.org/۱۰.۳۳۹۰/computers۹۰۱۰۰۰۶

۸- Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most Effective Wavelengths Using Hybrid Artificial Neural Network—Imperialist Competitive Algorithm,
https://doi.org/۱۰.۳۳۹۰/plants۹۱۱۱۵۴۷

۹- Determination of the Most Effective Wavelengths for Prediction of Fuji Apple Starch and Total Soluble Solids Properties,
https://doi.org/۱۰.۳۳۹۰/app۱۰۲۲۸۱۴۵

۱۰- Study on an automatic sorting system for Date fruits,
https://doi.org/۱۰.۱۰۱۶/j.jssas.۲۰۱۳.۰۸.۰۰۶