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Academic Staff  » Machinery and Mechanization  »  Bahareh Jamshidi



Bahareh Jamshidi Name
Associate Professor Title
Scientific Board Member Division
Optical NDT, Spectroscopy & Spectral Imaging Expert knowledge
Mechanics of Biosystem Engineering Dep. Address
b.jamshidi@areeo.ac.ir; b.jamshidi@areo.ir Email
+98-2632705320 Telephone
+98-2632706277 Facsimile

     B.Sc. Agricultural Machinery (Biosystem) Engineering, Isfahan University of Technology, Isfahan, Iran.
 
    M.Sc. Mechanics of Agricultural Machinery (Biosystem) Engineering, Tarbiat Modares University, Tehran, Iran.
 
    Ph.D. Mechanics of Agricultural Machinery (Biosystem) Engineering, Tarbiat Modares University, Tehran, Iran.  
 

RESEARCH INTERESTS 

Optical Non-destructive Testing (NDT), Spectroscopy and Spectral Imaging, Internet of Things (IoT), Optical Smart Systems and Sensors in Agriculture

 

ADDITIONAL INFORMATION 
 
Selected Projects
  • Design and realization of apple orchard smart monitoring and management system using Internet of Things (IoT) technology based on Wireless Sensor Network(WSN)
  • Design and development of an optical system for fast and non-destructive measurement of nitrate content in vegetables
  • Identification and introduction of appropriate and advanced technologies for saffron sorting and grading based on quality, safety and health
  • Design and development of an optical system for non-destructive detection of Ectomyelois ceratoniae Zeller (Lep., Pyrallidae) infected pomegranates
  • Non-destructive quality assessment of apple during storage using Dynamic Speckle Pattern (DSP) technique ( Bio-speckle Imaging)
  • Novel system for fast and non-destructive determination of pesticide residues in agricultural products based on Visible/Near-infrared (Vis/NIR) Spectroscopy
 
 
 

SELECTED PUBLICATIONS

 
  • Rahi, S., Mobli, H., Jamshidi, B. , Azizi, A., Sharifi, M. 2020. Different supervised and unsupervised classification approaches based on Visible/Near-infrared spectral analysis for discrimination of microbial contaminated lettuce samples: Case study on E. coli ATCC. Infrared Physics and Technology. 108, DoI: 10.1016/j.infrared.2020.103355
 
  • Jamshidi, B.  2020. Can hidden Ectomyelois ceratonia infestation be detected non-destructively? NIR spectroscopy has a good answer for pomegranates. Atlas of Science. 9 March, 1-3. https://atlasofscience.org

 

  • Farhadi, R., Afkari-Sayyah, A.H., Jamshidi, B. , and Mosapour-Gorji, A. 2020. Prediction of internal compositions change in potato during storage using Visible/Near-infrared (Vis/NIR) spectroscopy. International Journal of Food Engineering. 16(4), DoI: 10.1515/ijfe-2019-0110

 

  • Bahrami, M.E., Honarvar, M., Ansari, K., and  Jamshidi, B.  2020. Measurement of quality parameters of sugar beet juices using near-infrared spectroscopy and chemometrics. Journal of Food Engineering. DoI: 10.1016/j.jfoodeng.2019.109775

 

  • Jamshidi, B.  2020. Ability of near-infrared spectroscopy for non-destructive detection of internal insect infestation in fruits: Meta-analysis of spectral ranges and optical measurement modes. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 225, DoI: 10.1016/j.saa.2019.117479

 

  • Rahi, S., Mobli, H., Jamshidi, B. , Azizi, A., Sharifi, M. 2019. Visible/near-infrared spectroscopy as a novel technology for nondestructive detection of Escherichia coli ATCC 8739 in lettuce samples. Proceedings of the World Conference on Engineering and Technology. October 24-26. Frankfurt, Germany.

 

  • Abasi, S., Minaei, S.,  Jamshidi, B.  , Fathi, D., and Khoshtaghaza, M. H. 2019. Rapid measurement of apple quality parameters using wavelet de-noising transform with Vis/NIR analysis. Scientia Horticulturae. 252, 7-13.

 

  • Jamshidi, B.  , Mohajerani, E., Farazmand, H., Mahmoudi, A., and Hemmati, A. 2019. Pattern recognition-based optical technique for non-destructive detection of Ectomyelois ceratoniae infestation in pomegranates during hidden activity of the larvae. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 206, 552-557.

 

  • Rahi, S., Mobli, H., and  Jamshidi, B.  2018. Spectroscopy and spectral imaging techniques for non-destructive food microbial assessment. Proceedings of the 5th Iranian International NDT Conference. November 3-4. Olympic Hotel, Tehran, Iran.

 

  • Azadshahraki, F.,  Jamshidi, B.  ,  and Rasooli Sharabian, 2018. Non-destructive determination of vitamin C and lycopene contents of intact cv. Newton tomatoes using NIR spectroscopy. Yuzuncu Yil University Journal of Agricultural Sciences. 28(4). 397-389.

 

  • Basati, Z.,  Jamshidi, B.  , Rasekh, M., and Abbaspour-Gilandeh, Y. 2018. Detection of sunn pest-damaged wheat samples using visible/near-infrared spectroscopy based on pattern recognition. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 203, 308-314.

 

  • Ebrahimi, M. A., Khoshtaghaza, M. H., Minaei, S., and  Jamshidi, B.  2018. Methods and applications of new technology used for reducing of chemical usage and controlling of pest (a review). Agricultural Engineering International: CIGR Journal. 20(2): 144-153. 

 

  • Abasi, S., Minaei, S.,  Jamshidi, B.  , and Fathi, D. 2018. Dedicated Non-destructive Devices for Food Quality Measurement: A Review. Trends in Food Science and Technology. 78, 197-205.

 

  • Ebrahimi, M. A., Khoshtaghaza, M. H., Minaei, S., and  Jamshidi, B.  2017. Vision-based Pest Detection Based on SVM Classification Method. Computers and Electronics in Agriculture. 137, 52-58.

 

  • Jamshidi, B.  2017. Non-destructive safety assessment of agricultural products using Vis/NIR spectroscopy. NIR news.28(1), 4-8.

 

  • Mozaffari, M., Mahmoudi, A., Mollazade, K., and  Jamshidi, B.  2017. Low-cost optical approach for noncontact predicting moisture content of apple slices during hot air drying. Drying Technology.35(12), 1530-1542.

 

  • Jamshidi, B.  , and Arefi, A. 2016. Comparison of different feature extraction techniques in biospeckle images for nondestructive assessment of apple firmness. NDT net: Journal of Nondestructive Testing. 21 (6).

 

  • Jamshidi, B.  , Mohajerani, E., and Jamshidi, J. 2016. Developing a Vis/NIR spectroscopic system for fast and non-destructive pesticide residue monitoring in agricultural product. Measurement. 89, 1-6.

 

  • Jamshidi, B.  , Mohajerani, E., Jamshidi, J., Minaei, S., and Sharifi, A. 2015. Non-destructive detection of pesticide residues in cucumber using visible/near-infrared spectroscopy. Food Additives and Contaminants - Part A Chemistry, Analysis, Control, Exposure and Risk Assessment. 32 (6), 857-863.

 

  • Jamshidi, B.  , Minaei, S., Mohajerani, E., and Ghassemian, H. 2014. Prediction of soluble solids in oranges using visible/near-infrared spectroscopy: Effect of peel. International Journal of Food Properties. 17, 1460-1468.

 

  • Jamshidi, B.  , Minaei, S., Mohajerani, E., and Ghassemian, H. 2012. Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges. Computers and Electronics in Agriculture. 85, 64-69.

 

  • Naderi-Boldaji, M., Sharifi, A.,  Jamshidi, B.  , Younesi-Alamouti, M., and Minaei, S. 2011. A dielectric-based combined horizontal sensor for on-the-go measurement of soil water content and mechanical resistance. Sensors and Actuators A: Physical. 171, 131-137.