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Razieh Pourdarbani
Razieh Pourdarbani
Professor of Biosystem Engineering,University of Mohaghegh Ardabili
Verified email at uma.ac.ir
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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
862015
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), 2020
602020
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
492020
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
372020
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
342020
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
312020
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
292019
Automatic classification of chickpea varieties using computer vision techniques
R Pourdarbani, S Sabzi, VM García-Amicis, G García-Mateos, ...
Agronomy 9 (11), 672, 2019
272019
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
222020
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
222020
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
212021
Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data
R Pourdarbani, S Sabzi, JI Arribas
Heliyon 7 (9), 2021
172021
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
172020
Conventional and Advanced Exergy-Based Analysis of Hybrid Geothermal–Solar Power Plant Based on ORC Cycle
M Alibaba, R Pourdarbani, M Hasan Khoshgoftar Manesh, ...
Applied Sciences 10 (15), 5206, 2020
152020
Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy
R Pourdarbani, S Sabzi, MH Rohban, G Garcia-Mateos, J Paliwal, ...
Ain Shams Engineering Journal 13 (6), 101776, 2022
142022
Feasibility study of apple quality grading using image processing
R Pordarbani, HR Gasemzadeh, AA Golzadeh, H Behfar
Journal of food research 19 (1), 75-85, 2009
142009
Classification of cucumber leaves based on nitrogen content using the hyperspectral imaging technique and majority voting
S Sabzi, R Pourdarbani, MH Rohban, A Fuentes-Penna, ...
Plants 10 (5), 898, 2021
112021
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 …
R Pourdarbani, S Sabzi, M Hernández-Hernández, ...
Plants 9 (11), 1547, 2020
102020
Automatic detection of greenhouse plants pests by image analysis
R Pourdarbanı, B Rezaeı
Tarım Makinaları Bilimi Dergisi 7 (2), 171-174, 2011
102011
One-dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves
R Pourdarbani, S Sabzi, MH Rohban, JL Hernández-Hernández, ...
Applied Sciences 11 (24), 11853, 2021
92021
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