Login 
Thursday, May 1, 2025
Advanced Search
Academic Staff's CV's  » smart agriculture  »  Bahareh Jamshidi



Bahareh Jamshidi Name
Associate Professor Title
Scientific Board Member Division
Spectroscopy, Spectral Imaging, IoT, Smart Agric. Expert knowledge
Smart Agricultural Research Dep. Address
b.jamshidi@areeo.ac.ir; b.jamshidi@areo.ir Email
+98-2636150000 Telephone
+98-2632706277 Facsimile

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

RESEARCH INTERESTS 

Optical Non-destructive Testing (NDT), Near-infrared ( NIR) Spectroscopy and Spectral Imaging, Smart Agriculture (Internet of Things (IoT), Smart Systems, ...)

WoS  ResearcherID:   M-7729-2019       
Scopus  Author ID:    53979866600  
 

ADDITIONAL INFORMATION 
 
Selected Projects
  • Design and development of an intelligent system for detection of infected palm trees by red palm weevil, Rhynchophorus ferrugineus Oliv. in combination with Internet of Things (IoT) technology
  • Design, development and implementation of an Internet of Things ( IoT)-based smart system for on-line water quality monitoring
  • 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 a spectroscopic  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 a spectroscopic  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

  • Jamshidi, B.  , Khabbaz Jolfaee, H., Mohammadpour, K., Seilsepour, M., Dehghanisanij, H., Hajnajari, H., Farazmand, H., and Atri, A. 2025.  Internet of Things-based Smart System for Apple Orchards Monitoring and Management . Smart Agricultural Technology. 10, 100715.


  • Jamshidi, B.  , and Yazdanfar, N.  2025. Subspace/discriminate ensemble-based machine learning on visible/near-infrared spectra as an effective procedure for non-destructive safety assessment of spinach  . Biomechanism and Bioenergy Research. 4(1), 59-73. https://doi.org/10.22103/bbr.2025.24539.1110


  • Saeidirad, M.H., Jamshidi, B.  , Zarifneshat, S., Gandomzadeh, D. and Sabeghi, Y. 2025. Toward mechanized saffron farms by a full-hydraulically mounted saffron corm sorter  .   Agricultural Engineering International: CIGR Journal. 27(1): 61-71.


  • Asadian, S., Banakar, A. and  Jamshidi, B.  2024.  Determining the amount of water and the TAN index in the hydraulic oil of the sugarcane harvester Austoft7000 with visible/near-infrared spectroscopy technology . Insight: Non-Destructive Testing and Condition Monitoring. 66 (12), 767-773.


  • Hemmati, A., Mahmoudi, A.,  Jamshidi, B.  and Ghaffari, H.  2024. Assessment of Persian export pomegranate quality: A reliable non-destructive method based on spectroscopy and chemometrics . Journal of Food Composition and Analysis, 131( July 2024), 1-9.

  • Azadnia, R., Rajabipour, A.,  and Omid, M.  Jamshidi, B.  2023  .  New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection coupled with machine learning  . Computers and Electronics in Agriculture.  207, 107746. 1-16.

  • Jamshidi, B. , and Yazdanfar, N.  2022. Development of a spectroscopic approach for non-destructive and rapid screening of cucumbers based on maximum limit of nitrate accumulation . Journal of Food Composition and Analysis. 110, 104513. 1-9.


  • Azadshahraki, F., Sharifi, K.,

    Jamshidi, B.

    , Karimzadeh, R. and Naderi, H. 2022. Diagnosis of early blight disease in tomato plant based on visible/near-infrared spectroscopy and principal components analysis - artificial neural network prior to visual disease symptoms . Agricultural Machinery. 12(1): 81-94.

  • Rahi, S., Mobli, H., Jamshidi, B.   , Azizi, A., Sharifi, M. 2021. Achieving a robust Vis/NIR model for microbial contamination detection of Persian leek by spectral analysis based on genetic, iPLS algorithms and VIP scores . Postharvest Biology and Technology. 175, 111413.

 

  • Abasi, S., Minaei, S., Jamshidi, B. and Fathi, D. 2021. Development of an optical smart portable instrument for fruit quality detection . IEEE Transactions on Instrumentation and Measurement. 70. 1-9.


  • 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, 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), 20190110.

 

  • 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. 271,   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, 117479.


  • 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.


  • 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.