شناسایی تقلب در پودر دارچین با استفاده از تصویربرداری فراطیفی

Arjomandi, H. R., Kheiralipour, K., Amarloei, A. (2022). Estimation of dust concentration by a novel machine vision system. Scientific Reports, 12(1), 1-8.

Azadnia, R., & Kheiralipour, K. (2022). Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm. Ecological Informatics, 71, 101804. https://doi.org/10.1016/j.ecoinf.2022.101804.

Azadnia, R., Kheiralipour, K. (2021). Recognition of leaves of different medicinal plant species using a robust image processing algorithm and artificial neural networks classifier. Journal of Applied Research on Medicinal and Aromatic Plants, 100327.

Azarmdel, H., Jahanbakhshi, A., Mohtasebi, S. S., Mu˜noz, A.R. (2020). Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM), Postharvest Biol. Technol. 166, 111201.

Ciftci, M., Simsek, U.G., Yuce, A., Yilmaz, O., Dalkilic, B. (2010). Effects of dietary
antibiotic and cinnamon oil supplementation on antioxidant enzyme activities,
cholesterol levels and fatty acid compositions of serum and meat in broiler
chickens. Acta Veterinaria Brno, 79(1), 33-40.

Dashti-Rahmatabadi, M., Vahidi Merjardi, A., Pilavaran, A., Farzan, F. (2009).
Antinociceptive effect of cinnamon extract on formalin induced pain in rat.
SSU_Journals, 17(2), 190-199.

Dhanya, K., Kizhakkayil, J., Syamkumar, S., Sasikumar, B. (2007). Isolation and amplification of genomic DNA from recalcitrant dried berries of black pepper (Piper nigrum L.). A medicinal spice. Mol Biotechnol.7: 165-168.

Farokhzad, S., Modares Motlagh, A., Ahmadi Moghadam, P., Jalali Honarmand, S., Kheiralipour, K. (2020). Application of infrared thermal imaging technique and discriminant analysis methods for non-destructive identification of fungal infection of potato tubers. Journal of Food Measurement and Characterization. 14(1): 88-94.

Farokhzad, S., Modaress Motlagh, A., Ahmadimoghadam, P., Jalali Honarmand, S., & Khaieralipour, K. (2017). Fungal infection in potato tuber using thermal imaging. Iranian Journal of Biosystems Engineering. 48(3):243-253.

Ghandehari Yazdi, A.P., Nikooie, A., Sedaghat Boroujeni, L. (2014). A review of pharmacological properties and functional of Cinnamon. Journal of Medicinal Herbs. 5(3):127-135.

Gomez-Sanchis, J., Gomez-Chova, L., Aleixos, N., Camps-Valls, G., Montesinos-Herrero, C., Molto, E., & Blasco, J. (2008). Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins. Journal of Food Engineering, 89, 80-86.

Hajimonfarednejad, M., Ostovar, M., Raee, M.J., Hashempur, M.H., Mayer, J.G., Heydari, M. (2019). Cinnamon: A systematic review of adverse events. Clinical nutrition, 38, 2.602-594.

Hamidpour, R., Hamidpour, S., Hamidpour, M., Shahlari, M., Sohraby, M., Shahlari, N. (2017). Russian olive (Elaeagnus angustifolia L.): From a variety of traditional medicinal applications to its novel roles as active antioxidant, anti-inflammatory, anti-mutagenic and analgesic agent. eJTCM; 7 (1): 24-9.

Han, Z., Wan, J., Deng, L., Liu, K. (2016). Oil Adulteration Identification by Hyperspectral Imaging Using QHM and ICA. PLOS ONE. doi: 10.1371/journal.pone.

Hosainpour, A., Kheiralipour, K., Nadimi, M., Paliwal, J. (2022). Quality Assessment of Dried White Mulberry (Morus alba L.) Using Machine Vision. Horticulturae, 8(11), 1011.

Jahanbakhshi, A., Kheiralipour, K. (2020). Evaluation of image processing technique and discriminant analysis methods in postharvest processing of carrot fruit. Food Science & Nutrition 8 (7), 3346-335.

Jayas, D. S. (2023). Image Processing: Advances in Applications and Research. Nova Science Publishers, New York, US.

Jiang, H., Wang, W., Zhuang, H., Yoon, S., Yang, Y., Zhao, X. (2019). Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef. Food Analytical Methods https://doi.org/10.1007/s12161-019-01577-6.

Kandahari Yazdi, A., Nikoyi, A., Sadafat Borojni, L. (2014). An overview of the medicinal and practical properties of cinnamon. Journal of Medicinal Plants. Herbal Medicines, Year 5, Number 3, Page 127-135. [in persian].

Khan, M., Saleem, Z., Ahmadm, M., Sohaib, M., Ayaz, H., Mazzara, M. (2020). Hyperspectral imaging for color adulteration detection in red Chili. Appl. Sci, 10, 5955.

Khazaee, Y., Kheiralipour, K., Hosainpour, A., Javadikia, H., Paliwal, J. (2022). Development of a novel image analysis and classification algorithms to separate tubers from clods and stones. Potato Research, 65(1): 1-22.

Kheiralipour, K. (2012). Implementation and construction of a system for detecting fungal infection in pistachio kernel based on thermal imaging (TI) and image processing technology. Ph.D. Dissertation, University of Tehran, Karaj, Iran.

Kheiralipour, K. (2020). Sustainable Production: Definitions, Aspects, and Elements. New York, USA: Nova Science Publishers.

Kheiralipour, K., & Pormah, A. (2017). Introducing new shape features for classification of cucumber fruit based on image processing technique and artificial neural networks. Journal of Food Process Engineering. 40(6), e12558.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S. (2018). Thermal Imaging, Principles, Methods and Applications. 1^st Ed. Ilam University Publication, Ilam, Iran.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., Javan-Nikkhah, M., Jayas, D.S. and Siliveru K. (2015b). Detection of fungal infection in pistachio kernel by long-wave near-infrared hyperspectral imaging technique. Quality Assurance and Safety of Crops & Foods., 8(1): 129-135.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., Javan-Nikkhah, M., Jayas, DS., Siliveru, K., Malihipour, A. (2021). Processing the hyperspectral images for detecting infection of pistachio kernel by R5 and KK11 isolates of Aspergillus flavus fungus. Iranian Journal of Biosystems Engineering, 52(1): 13-25.

Kheiralipour, K., Chelladurai, V., Jayas, D.S. (2023a). Imaging Systems and Image Processing Techniques. In Image Processing: Advances in Applications and Research. Edited by Jayas, D.S. New York, USA: Nova Science Publishers.

Kheiralipour, K., Jayas D.S. (2023b). Applications of near infrared hyperspectral imaging in agriculture, natural resources, and food in Iran. 15^th National and 1^st International Congress of Mechanics of Biosystems Engineering and Agricultural Mechanization. Karaj, Iran.

Kheiralipour, K., Jayas D.S. (2024). Current and future applications of hyperspectral imaging in agriculture, nature and food. Trends in Technical & Scientific Research. 7(2), 1-9. DOI: 10.19080/TTSR.2024.07.555708.

Kheiralipour, K., Jayas, D.S. (2023a). Advances in image processing applications for assessing leafy materials. International Journal of Tropical Agriculture. 41(1-2), 31-47.

Kheiralipour, K., Jayas, D.S. (2023c). Image Processing for the Quality Assessment of Flour and Flour-Based Baked Products. In Image Processing: Advances in Applications and Research. Edited by Jayas, D.S. New York, USA: Nova Science Publishers.

Kheiralipour, K., Nadimi, M., Paliwal, J. (2022). Development of an Intelligent Imaging System for Ripeness Determination of Wild Pistachios. Sensors. 22(19), 7134.

Kheiralipour, K., Singh, C. B., Jayas, D. S. (2023b). Applications of Visible, Thermal, and Hyperspectral Imaging Techniques in the Assessment of Fruits and Vegetables. In Image Processing: Advances in Applications and Research. Edited by Jayas, D.S.  New York, USA: Nova Science Publishers.

Koochaksaraie, R. R., Irani, M., Valizadeh, M. R., Rahmani, Z., Gharahveysi, S. (2010). A study on the effect of cinnamon powder in diet on serum glucose level in broiler chicks. Global Veterinaria, 4(6), 562-565.

Kumar, A., Bharti, V., Kumar, V., Kumar, U., & Meena, P. D. (2016). Hyperspectral imaging: A potential tool for monitoring crop infestation, crop yield and macronutrient analysis, with special emphasis to Oilseed Brassica. Journal of Oilseed Brassica, 7(2), 113-12.

Li, J., Huang, W., Tian, X., Wang, C., Fan, S., & Zhao, C. (2016). Fast detection and visualization of early decay in citrus using vis-NIR hyperspectral imaging. Computers and Electronics in Agriculture. 127, 582-592.

Lu, B., Dao, P. D., Liu, J., He, Y., Shang, J. (2020). Recent advances of hyperspectral imaging technology and applications in agriculture. Remote Sensing, 12, 2659.

Mehrpouri, M., Hamidpour, R., Hamidpour, M. (2020). Cinnamon inhibits platelet function and improves cardiovascular system. J. Med. Plants; 19(73):1-11.

Mohammadi, M., Mirabzadeh, S., Shahvalizadeh, R., Hamishehkar, H. (2020). Development of novel active packaging films based on whey protein isolate incorporated with chitosan nanofiber and nano-formulated cinnamon oil. Int. J. Biol. Macromol, 149, 11–20.

Mohammadi, V., Kheiralipour, K., Ghasemi-Varnamkhasti, M. (2015). Detecting maturity of persimmon fruit based on image processing technique. Scientia Horticulturae. 184, 123-128.

Moosavian, A. (2012). Fault Diagnosis and Classification of Journal Bearings by Using Support Vector Machine, M. Sc. dissertation, University of Tehran, Karaj.

Rady, A., Adedeji, A. (2020). Application of hyperspectral imaging and machine learning methods to detect and quantify adulterants in minced meats. Food Analytical Methods https://doi.org/10.1007/s12161-020-01719-1.

Safari Amiri, Z., Ghasemi Varnamkhasadi, M., Tawhidi, M., Mohtasbi, S. S., Davalit, M. (2017). Using the olfactory system to detect caraway fraud. Scientific quarterly, new technologies in the food industry. Volume 5, Number 3, Pages 527-541. [in persian].

Salam, S., Kheiralipour, K. (2022). Development and evaluation of chickpea classification system based on visible image processing technology and artificial neural network. Innovative Food Technologies. 9(2), 181-163.

Salam, S., Kheiralipour, K., Jian, F. (2022). Detection of unripe kernels and foreign materials in chickpea mixtures using image processing. Agriculture, 12(7), 995.

Sang-Oh, P., Chae-Min, R., Byung-Sung, P., Jong, H. (2013). The meat quality and growth performance in broiler chickens fed diet with cinnamon powder. Journal of Environmental biology, 3.127 (1).

Shafiee, S., Polder, G., Minaei, S., Moghadam-Charkari, N. (2016). Detection of honey adulteration using hyperspectral imaging. IFAC. 311-314.

Singh, C. B. (2009). Detection of insect and fungal damage and incidence of sprouting in stored wheat using near-infrared hyperspectral and digital color imaging. Ph.D. Dissertation. University of Manitoba, Winnipeg, Canada.

Singh, C. B., Jayas, D. S., Paliwal, J., White, N. D. G. (2007). Fungal detection in wheat using near infrared hyperspectral imaging. Transactions of the ASAE, 50, 2171-2176.

Siripatrawan, U., Makino, Y. (2015). Monitoring fungal growth on brown rice grains using rapid and nondestructive hyperspectral imaging. International Journal of Food Microbiology, 199, 93-100.

Temiz, H., Ulas, B. (2021). A Review of recent studies employing hyperspectral imaging for the determination of food adulteration. Photochem. 1, 125-146.

Usefi, S., Farsi, H., Kheiralipour, K. (2016). Drop test of pear fruit: experimental measurement and finite element modelling. Biosystems Engineering. 147, 17-25.

Vasanthi, R. H., Parameswari, R. P. (2010). Indian spices for healthy heart-an overview. Current Cardiology Reviews; 6 (4): 274-9.

Vejarano, R., Siche, R., Tesfaye, W. (2017). Evaluation of biological contaminants in foods by hyperspectral imaging: A review. International Journal of Food Properties. 20(2), 1264-1297.