Подписаться
Razieh Pourdarbani
Razieh Pourdarbani
Professor of Biosystem Engineering,University of Mohaghegh Ardabili
Подтвержден адрес электронной почты в домене uma.ac.ir
Название
Процитировано
Процитировано
Год
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
932015
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
712020
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
542020
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
412020
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
392020
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
382019
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
372020
Automatic classification of chickpea varieties using computer vision techniques
R Pourdarbani, S Sabzi, VM García-Amicis, G García-Mateos, ...
Agronomy 9 (11), 672, 2019
292019
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
262020
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
252020
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
232021
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
222021
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
222020
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
202022
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
202020
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
142021
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
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
122021
Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models
R Pourdarbani, S Sabzi, MH Rohban, G García-Mateos, JI Arribas
Applied Optics 60 (30), 9560-9569, 2021
122021
Non-destructive prediction of titratable acidity and taste index properties of gala apple using combination of different hybrids ANN and PLSR-model based spectral data
VR Sharabiani, S Sabzi, R Pourdarbani, E Solis-Carmona, ...
Plants 9 (12), 1718, 2020
122020
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20