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Members of Academic Board - Vali Rasooli Sharabiani


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Published articles
  1. Ehsan Aghdamifar, Vali Rasooli Sharabiani, Ebrahim Taghinezhad, Mariusz Szymanek, Agata Dziwulska-Hunek. 2023. E-Nose as a Non-destructive and Fast Method for Identification and Classification of Coffee Beans Based on Soft Computing Models. Sensors and Actuators B: Chemical. V: 393, 134229.
  2. Ehsan Aghdamifar, Vali Rasooli Sharabiani, Ebrahim Taghinezhad, Adel Rezvanivand Fanaei, Mariusz Szymanek. 2023. Non-destructive method for identification and classification of varieties and quality of coffee beans based on soft computing models using VIS/NIR spectroscopy. European Food Research and Technology. V: 249, p: 1599–1612.
  3. Vali Rasooli Sharabiani, Ali Khorramifar, Hamed Karami, Jesús Lozano, Sylwester Tabor, Yousef Darvishi, and Marek Gancarz, 2023. Non-destructive test to detect adulteration of rice using gas sensors coupled with chemometrics methods. Int. Agrophys., 37, 235-244. doi: 10.31545/intagr/166009.
  4. Mansour Rasekh, Fariba Alimohammadi Sarab, Yousef Abbaspour-Gilandeh, Vali Rasooli Sharabiani, Amir Hossein Afkari-Sayyah, Hamed Karami. 2024. Maize seed variety classification using image processing. Journal of Environmental Science Studies. 8: 4. (in Farsi)
  5. Roozbeh Abdi, Gholamhossein Shahgholi, Vali Rasooli Sharabiani, Adel Rezvanivand Fanaei, Mariusz Szymanek. 2023. Prediction compost criteria of organic wastes with Biochar additive in in-vessel composting machine using ANFIS and ANN methods. Energy Reports 9 (2023) 1684–1695. https://doi.org/10.1016/j.egyr.2023.01.001
  6. Vali Rasooli Sharabiani, Araz Soltani Nazarloo, Ebrahim Taghinezhad, Ibham Veza, Antoni Szumny, Adam Figiel. 2023. Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR. Food Science & Nutrition. 11:5.
  7. Ali Khorramifar, Asma Kisalaei, Vali Rasooli Sharabiani. 2023. Detection and identification of potato cultivars by olfactory machine by artificial neural network and LDA methods. Journal of Environmental Science Studies. 8:3. (in Farsi)
  8. Vali Rasooli Sharabiani, Ali Khorramifar, Gholamhossein Shahgholi. 2023. Comparison of real and modeled apple drying process. Journal of Environmental Science Studies. 8:1. (in Farsi)
  9. Jalilnezhad, H. Abbaspour-Gilandeh, Y. Rasooli-Sharabiani, V. Mardani, A.Hernández-Hernández, J.L.Montero-Valverde, J.A. Hernández-Hernández, M. 2023.  Use of a Convolutional Neural Network for Predicting Fuel Consumption of an Agricultural Tractor. Resources 2023, 12, 46. https://doi.org/10.3390/resources12040046
  10. Khorramifar, A.; Rasooli Sharabiani, V.; Karami, H.; Kisalaei, A.; Lozano, J.; Rusinek, R.; Gancarz, M. Investigating Changes in pH and Soluble Solids Content of Potato during the Storage by Electronic Nose and Vis/NIR Spectroscopy. Foods 2022, 11, 4077. https://doi.org/
10.3390/foods11244077
  1. Vali Rasooli Sharabiani, Mohammad Kaveh, Ebrahim Taghinezhad, Rouzbeh Abbaszadeh, Esmail Khalife, Mariusz Szymanek, and Agata Dziwulska-Hunek. 2022. Application of artificial neural networks, support vector, adaptive neuro-fuzzy inference systems for the moisture ratio of parboiled hulls. Journal of Applied Sciences. 12: 4.
  2. Vali Rasooli Sharabiani, Asma Kisalaei, Ebrahim Taghinezhad. 2022. Prediction of Chlorophyll Content of Tomato Plant by Artificial Neural Networks and Adaptive Nero-Fuzzy Inference System. Journal of Agricultural Mechanization (university of Tabriz), No. 6:3; P: 59-65.
  3. Vali Rasooli Sharabiani; Ali Khorramifar. 2022. Recognition and classification of pure and adulterated rice using the electronic nose. Journal of Environmental Science Studies (JESS). 7:3. (in Farsi)
  4. Vali Rasooli Sharabiani, Ali Khorramifar. 2022. Quantitative analysis of organic acids in potatoes using NIR spectroscopy with PLS and ANN methods. Journal of Environmental Science Studies (JESS). 7:4. (in Farsi)
  5. Javad Tarighi, Anvar Janeh, Vali Rasooli Sharabiani, Examining Regional Differences in Agricultural Machinery Sector Productivity Using Data Envelopment Analysis (DEA). 2022. AMA (AGRICULTURAL MECHANIZATION IN ASIA, AFRICA AND LATIN AMERICA). VOL.53 NO.2.
  6. Mohammad Sagegh Besharati Moghadam, Vali Rasooli Sharabiani, Ebrahim Taghinezhad. 2022. Comparison of energy consumption of rice production in lands with equipping and renovation plan and without it (Case study: Bandar Anzali city). Journal of Environmental Science Studies (JESS). No. 7:3. (in Farsi)
  7. Sajed Naiemi Dizajyekan, Gholamhossein Shahgholi, Adel Rezvanivand Fanaei  , Vahid Rostampour, Vali Rasooli Sharabiani, Mariusz Szymanek , and Ryszard Kulig. 2022. Evaluation of Centrifugal Force, Erosion, Strain Rate, and Wall Shear in a Stairmand Cyclone. Processes.10, 994. https://doi.org/10.3390/pr10050994
  8. Sajed Naiemi Dizajyekan, Gholamhossein Shahgholi, Adel Rezvanivand Fanaei, Vahid Rostampour, Vali Rasooli Sharabiani, Mariusz Szymanek, and Andrzej Marczuk. 2021. A Comprehensive CFD Assessment of Wheat Flow in Wheat Conveying Cyclone Validation and Performance Analysis by Experimental Data. Processes.10: 1. doi.org/10.3390/pr10010001
  9. Fariba Alimohammadi, Mansour Rasekh, Amir Hosein Afkari Sayyah, Yousef Abbaspour-Gilandeh, Hamed Karami, Vali Rasooli Sharabiani, Ambra Fioravanti, Marek Gancarz, Pavol Findura, Dariusz Kwaśniewski. 2022. Hyperspectral imaging coupled with multivariate analysis and artificial intelligence to the classification of maize kernels. International Agrophysics. 36:2.
  10. Vali Rasooli Sharabiani, Mohammad Kaveh, Roozbeh Abdi, Mariusz Szymanek & Wojciech Tanaś. 2021. Estimation of moisture ratio for apple drying by convective and microwave methods using artificial neural network modeling. Scientific Reports. doi.org/10.1038/s41598-021-88270-z
  11. Araz Soltani Nazarloo, Vali Rasooli Sharabiani, Yousef Abbaspour Gilandeh, Ebrahim Taghinezhad and Mariusz Szymanek. 2021. Evaluation of DifferentModels for Non-Destructive Detection of Tomato Pesticide Residues Based on Near-Infrared Spectroscopy. Sensors, 21, 3032. https://doi.org/10.3390/s21093032
  12. Vali Rasooli Sharabiani, Sajad Sabzi, Razieh Pourdarbani, Mariusz Szymanek, Sławomir Michałek. Inner properties estimation of gala apple using spectral data and two statistical and artificial intelligence based methods. Foods, 10:12.
  13. Vali Rasooli Sharabiani, Sajad Sabzi, Razieh Pourdarbani, Edgardo Solis-Carmona, Mario Hernández-Hernández  and José Luis Hernández-Hernández. 2020. Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Di erent Hybrids ANN and PLSR-Model Based Spectral Data. Plants. 9(12), 1718; https://doi.org/10.3390/plants9121718
  14. Araz Soltani Nazarloo, Vali Rasooli Sharabiani, Yousef Abbaspour Gilandeh, Ebrahim Taghinezhad, Mariusz Szymanek and Maciej Sprawka. 2021. Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes. Processes. 9. 196.
  15. Mohammad Kaveh, Reza Amiri Chayjan, Ebrahim Taghinezhad, Vali Rasooli Sharabiani, Ali Motevali. 2020. Evaluation of specific energy consumption and GHG emissions for different drying methods (Case study: Pistacia Atlantica). Journal of Cleaner Production. doi.org/10.1016/j.jclepro.2020.120963.
  16. Ahmad Jahanbakhshi, Mohammad Kaveh, Ebrahim Taghinezhad and Vali Rasooli Sharabiani. 2020. Assessment of kinetics, effective moisture diffusivity, specific energy consumption, shrinkage, and color in the pistachio kernel drying process in microwave drying with ultrasonic pretreatment. J Food Processing and Preservation. doi.org/10.1111/jfpp.14449.
  17. Ebrahim Taghinezhad, Antoni Szumny, Mohammad Kaveh, Vali Rasooli Sharabiani, Anil Kumar and Naoto Shimizu. 2020. Parboiled Paddy Drying with Different Dryers: Thermodynamic and Quality Properties, Mathematical Modeling Using ANNs Assessment. J. of foods. doi.org/10.3390/foods9010086.
  18. Vali Rasooli Sharabiani, Roya Farhadi, AmirHossein AfkariSayah, Ebarhim Taghinezhad. 2020. Potential use of machine vision technique for qualitative separation of walnut kernel (Kaghazi Walnut). Journal of Researches in Mechanics of Agricultural Machinery. V: 9, No 1. (in Farsi)
  19. Ebrahim Taghinezhad, Mohammad Kaveh, Vali Rasooli Sharabiani. 2020. Blackberry drying with various pretreatments of thermal, pulsed, chemical and mechanical using convective-infrared combined method. Innovative Food Technologies. 7:2. (in Farsi)
  20. Vali Rasooli Sharabiani; Ebrahim Taghinezhad; Ramzan Hadipour Rokni. 2020. Modeling and Optimization of Energy Parameters in Rosmarinus officinalis drying with Microwave Pretreatment Using Response Surface Methodology. Innovative Food Technologies, 7(1), 17-29. (in Farsi)
  21. V.R.Sharabiani, F. H. Kassar, Y.A.Gilandeh, S. F. Ardabili. 2019. APPLICATION OF SOFT COMPUTING METHODS AND SPECTRAL REFLECTANCE DATA FOR WHEAT GROWTH MONITORING. Iraqi Journal of Agricultural Sciences. 50(4):1064- 1076
  22. Vali Rasooli Sharabiani and Taghinezhad Ebrahim. 2019. Quantifying of the relationship between novel intermittent drying variables and some quality properties of parboiled rice using response surface methodology. Chemical Industry & Chemical Engineering Quarterly (Chem. Ind. Chem. Eng. Q). doi.org/10.2298/CICEQ170813033S.
  23. V. Rasooli Sharabiani, O. Farhangi, E. Taghinezhad. 2019. Online Identification of Defect Bottles in Production Line of Soft Drink using Machine Vision. Journal of Agricultural Machinery. Vol. 9, No. 1, p. 123-137 (in Farsi)
  24. Vali Rasooli Sharabiani, Araz Soltani Nazarloo and Ebrahim Taghinezhad. 2019. Prediction of Protein Content of Winter Wheat by Canopy of Near Infrared Spectroscopy (NIRS), Using Partial Least Squares Regression (PLSR) and Artificial Neural Network (ANN) Models. Yuzuncu Yıl University Journal of Agricultural Sciences. 29(1).
  25. ASMA KISALAEI, VALI RASOOLI SHARABIANI, and EBRAHIM TAGHINEZHAD. 2019. Application of image processing and linear regression models for estimation of nitrogen content of tomato leaves. Res. on Crops 20 (2) : 345-352
  26. Ebrahim Taghinezhad, Vali Rasooli Sharabiani and Mohammad Kaveh. 2019. Modelling and Optimization of Hybrid HIR Drying Variables for Processing of Parboiled Paddy Using Response Surface Methodology. IRANIAN JOURNAL OF CHEMISTRY and CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION. 39(1).
  27. Zahra Erahimpour, Vali Rasooli Sharabiani, Ebrahim Taghinezhad. 2019. Modeling of Energy Consumption of Cucumber Greenhouses Usingartificial Neural Network and ANFIS. Emirates Journal for Engineering Research. 24:4.
  28. Zahra Erahimpour, Vali Rasooli Sharabiani, Ebrahim Taghinezhad. 2019. Evaluation of the Environmental Effects of Cucumber Greenhouses Using Life Cycle Assessment (Case Study: East-azarbaijan Province). Iranian Journal of Biosystem Engineering. V: 50(3). (in Farsi)
  29. E. Taghinezhad and Vali Rasooli Sharabiani. 2018. Prediction of Starch Gelatinization Degree and Some Quality Properties of Parboiled Rice (Shiroudi Cultivar) During Steaming of Parboiling Process. Journal of Food Science and Technology. 15(77), 183-192. (in Farsi)
  30. Ebrahim Taghinezhad and Vali Rasooli Sharabiani. 2018. The effect of combination dryer of hot air – infrared and microwave on some quality properties of parboiled rice. Journal of Innovative Food Technologies. 5(1), 25-31. (in Farsi)
  31. Ebrahim Taghinezhad and Vali RasooliSharabiani. 2019. Quantifying the Best Mathmatical Model for Online Prediction of Starch Gelatinization Degree of Parboiled Rice (Shiroudi Variety) During Soaking of Parboiling Process. Journal of Food Science and Technology. 15(85): 265-277. (in Farsi)
  32. Ahmad Jahanbakhshi, Vali Rasooli Sharabiani, Kobra Heidarbeigi, Mohammad Kaveh, Ebrahim Taghinezhad. 2019. Evaluation of engineering properties for waste control of tomato during harvesting and postharvesting. Food science & nutrition. V 7(4). P: 1473-1481
  33. Zahra Basati, Ezzatollah Askari Asli-Ardeh and Vali Rasooli Sharabiani. 2019. Effect of moisture content on terminal velocity of lentil grain. RESEARCH IN AGRICULTURAL ENGINEERING (Czech Academy of Agricultural Science). 65(1).
  34. Farzad AZADSHAHRAKI, Bahareh JAMSHIDI and Vali Rasooli Sharabiani. 2018. Non-destructive determination of vitamin C and lycopene contents of intact cv. Newton tomatoes using NIR spectroscopy. Yuzuncu Yıl University Journal of Agricultural Sciences. 24(4), 389-397.
  35. Shahpour Jahedi Rad, Mohammad Kaveh, Vali Rasooli Sharabiani and Ebrahim Taghinezhad. 2018. Fuzzy logic, artificial neural network and mathematical model for prediction of white mulberry drying kinetics. Heat and Mass Transfer. 54(11), 3361-3374.
  36. Mohammad Kaveh, Vali Rasooli Sharabiani, Reza Amiri Chayjan, Ebrahim Taghinezhad, Yousef Abbaspour-Gilandeh, Iman Golpour. 2018. ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption potato, garlic and cantaloupe drying under convective hot air dryer. Information Processing in Agriculture. 5(3). 372-387.
  37. Ebrahim Taghinezhad and Vali Rasooli Sharabiani. 2018. Effect of chitosan coating on some quality properties of Thomson orange during storage (a case study in Iran). Agricultural Engineering International: CIGR Journal. 20(1), 157-161.
  38. Yousef Abbaspour-Gilandeh, Fereshteh Hasankhani-Ghavam, Gholamhosein Shahgoli, Vali Rasooli Shrabian and Mohammadreza Abbaspour-Gilandeh. 2018. Investigation of the effect of soil Moisture content, contact surface Material and soil texture on soil friction and soil adhesion coefficients. Acta Technologica Agriculturae. 21(2), 44-50.
  39. Mohammad Kaveh, Reza Amiri Chayjan, Ebrahim Taghinezhad, Yousef Abbaspour Gilandeh, Abdollah Younesi and Vali Rasooli Sharabiani. 2018. Modeling of thermodynamic properties of carrot product using ALO, GWO, and WOA algorithms under multi-stage semi-industrial continuous belt dryer. Engineering with Computers. doi.org/10.1007/s00366-018-0650-2.
  40. Hasan Sarbazi and Vali Rasooli Sharabiani. 2016. Applications of Stereovision in precision Agriculture.  Journal of Research in Science, Engineering and Technology. 36-40.
  41. Vali Rasooli Sharabian, Noboru Noguchi, Kazunobu Ishii. 2014. Significant Wavelengths for Prediction of winter wheat growth status and grain yield Using Multivariate Analysis. Engineering in Agriculture, Environment and Food. 7 .14-21.
  42. Vali Rasooli Sharabian, Noboru Noguchi, Issei Han-ya, Kazunobu Ishii. 2013. Evaluation of an Active Remote Sensor for Monitoring Winter Wheat Growth Status. Journal of Engineering in Agriculture, Environment and Food (EAEF). 6(3): 118-127.
  43. Vali Rasooli Sharabian, Noboru Noguchi, Kazunobu Ishii. 2013. Optimal Vegetation Indices for Winter Wheat Growth Status Biased on Multi Spectral Reflectance. Environ. Control Biol., 51 (3), 105-112. DOI: 10.2525/ecb.51.105.
  44. Y. Abbaspour-Gilandeh, S. Haghighat-Shishvan,V. Rasooli-Sharabiani and Z. Fazel-Niari. 2010. Design, Construction and Calibration of an Adjustable Three-Point Hitch Dynamometer for Common Agricultural Tractors in Iran. Journal of Agricultural Engineering Research/Vol.11/No.2/P: 29-48. (in Farsi)
  45. Y. Abbaspour-Gilandeh, M. Ahani, E. Askari Asli-Ardeh, V. Rasooli-Sharabiani and O. Sofalian. 2010. Design, Fabrication and Evaluation of a Tractor-Mounted Soil Cone Penetrometer with Multiple Probes. Journal of Agricultural engineering research. Vol.11/No.1/P: 19-38. (in Farsi)
  46. Yousef Abbaspour-Gilandeh, Vali Rasooli Sharabiani and Ahmad Khalilian. 2009. Effects of Tillage Methods on Soil Fragmentation in loam-clay soils. American Journal of Agricultural & Biological Sciences. 4(2). 131-136. 
  47. V. Rasooli Sharabiani and I. Ranjbar. 2008. Determination of the Degree, Level and Capacity Indices for Agricultural Mechanizatin in Sarab Region. Journal of Agricultural Science and Technology (JAST). Vol 10, No: 3, Pp: 215-223.
  48. V. Rasooli Sharabiani., 2008. The situation of agricultural mechanization in sarab city-iran. Agricultural Mechanizatin in Asia, Africa, and Latin America (AMA). Vol 39, No: 2, Pp: 57-63.
  49. Mohamadi, A.  V. Rasooli Sharabiani, M. Almasi. 2007. Development and Testing of metering unit of Sugarcane Stalk Planter.  Journal of Science and Technology. Vol 6, No: 2, Pp: 26-37. (in Farsi)
  50. F. Azad Shahraki and V. Rasooli Sharabiani. 2006. Determination of mechanization coefficients and indices for primary tillage operation by using popular tractors and plows in Chahar Maha-va Bakhtiary Province of Iran. Journal of Science and Technology, Vol 5, No: 2, Pp: 50-55. (in Farsi)
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