Razieh Pourdarbani
Title
Cited by
Cited by
Year
Study on an automatic sorting system for Date fruits
R Pourdarbani, HR Ghassemzadeh, H Seyedarabi, FZ Nahandi, ...
Journal of the Saudi Society of Agricultural Sciences 14 (1), 83-90, 2015
472015
Feasibility study of apple quality grading using image processing
R Pordarbani, HR Gasemzadeh, A Agha Golzadeh, H Behfar
Journal of food research 19 (1), 75-85, 2009
132009
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions
DKJMMM Razieh Pourdarbani, Sajad Sabzi, Mario Hernández-Hernández, José Luis ...
remote sensing 11 (2546), 2019
122019
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
R Pourdarbani, S Sabzi, D Kalantari, R Karimzadeh, E Ilbeygi, JI Arribas
Biosystems Engineering 195, 136-151, 2020
112020
Thermodynamic, exergo-economic and exergo-environmental analysis of hybrid geothermal-solar power plant based on ORC cycle using emergy concept
M Alibaba, R Pourdarbani, MHK Manesh, GV Ochoa, JD Forero
Heliyon 6 (4), e03758, 2020
102020
A computer vision system based on majority-voting ensemble neural network for the automatic classification of three chickpea varieties
R Pourdarbani, S Sabzi, D Kalantari, JL Hernández-Hernández, JI Arribas
Foods 9 (2), 113, 2020
102020
Automatic detection of greenhouse plants pests by image analysis
R Pourdarbani, B Rezaei
Tarım Makinaları Bilimi Dergisi 7 (2), 171-174, 2011
102011
Factors affecting the adoption of agricultural automation using Davis’s acceptance model (case study: Ardabil)
M Salimi, R Pourdarbani, BA Nouri
Acta Technologica Agriculturae 23 (1), 30-39, 2020
92020
Automatic classification of chickpea varieties using computer vision techniques
R Pourdarbani, S Sabzi, VM García-Amicis, G García-Mateos, ...
Agronomy 9 (11), 672, 2019
82019
Designing a fruit identification algorithm in orchard conditions to develop robots using video processing and majority voting based on hybrid artificial neural network
S Sabzi, R Pourdarbani, D Kalantari, T Panagopoulos
Applied Sciences 10 (1), 383, 2020
52020
Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm
S Sabzi, R Pourdarbani, MH Rohban, G García-Mateos, J Paliwal, ...
Agronomy 11 (3), 575, 2021
22021
Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different …
R Pourdarbani, S Sabzi, D Kalantari, JI Arribas
Chemometrics and Intelligent Laboratory Systems 206, 104147, 2020
22020
A computer vision system for the automatic classification of five varieties of tree leaf images
S Sabzi, R Pourdarbani, JI Arribas
Computers 9 (1), 6, 2020
22020
Physical properties of Iranian Berhi date at different stages of maturity
R Pourdarbani, HR Ghassemzadeh, H Seyedarabi, FZ Nahandi, ...
Sustainable Agriculture Research 1 (526-2016-37843), 2012
22012
SELECTION OF OPTIMUM LIGHT SOURCE FOR MACHINE VISION APPLICATIONS
R Pourdarbani, HR GHASEMZADEH, GA AGHA, H BEHFAR
JOURNAL OF AGRICULTURAL SCIENCE (UNIVERSITY OF TABRIZ) 18 (4), 247-255, 2009
22009
Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method
R Pourdarbani, S Sabzi, D Kalantari, J Paliwal, B Benmouna, ...
Computers and Electronics in Agriculture 176, 105643, 2020
12020
Conventional and Advanced Exergy-Based Analysis of Hybrid Geothermal–Solar Power Plant Based on ORC Cycle
M Alibaba, R Pourdarbani, MHK Manesh, I Herrera-Miranda, ...
Applied Sciences 10 (15), 5206, 2020
12020
Choosing a proper maintenance and repair strategy for tractors (in Urmia)
R Pourdarbani
Acta technologica agriculturae, 2019
12019
The effect of camera and light source characteristics on image quality in machine vision application in food industry
R Pourdarbani, HR Ghassemzadeh, H Seyedarabi, FZ Nahandi, ...
Journal of Agricultural Science 4 (10), 169, 2012
12012
Ranking the Effective Factors in the Technology Acceptance Model for the Actual Use of Agricultural Automation (Case study: Ardebil)
M Salimi, R Pourdarbani, B Asgarnezhad Nouri
Journal of Agricultural Machinery 11 (2), 525-534, 2021
2021
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Articles 1–20