Application of infrared thermal imaging in Biosystems engineering in Iran

Ahmed, A., Ibrahim, A., & Hussein, S. H. (2019). Detection of palm tree pests using thermal imaging: A review. In A. E. Hassanien (Ed.), Machine learning paradigms: Theory and application (pp. 253–270). Springer.

Ajuda, A., Vieira, A., & Stilwell, G. (2014). Are there differences in dairy goats' claw temperature before and after trimming? In Proceedings of the IEEE International Symposium on Medical Measurements and Applications.

Alavipanah, S. K., De Dapper, M., Goossens, R., & Massoudi, M. (2001). The use of TM thermal band for land cover/land use mapping in two different environmental conditions of Iran. Journal of Agricultural Science and Technology, 3, 27–36.

Alavipanah, S. K., Saradjian, M., Savaghebi, G. R., Komaki, C. B., Moghimi, E., & Karimpur Reyhan, M. (2007). Land surface temperature in the Yardang region of Lut Desert (Iran) based on field measurements and Landsat thermal data. Journal of Agricultural Science and Technology, 9(4), 287–303.

Alphonce, R., Alfnes, F., & Sharma, A. (2014). Consumer vs. citizen willingness to pay for restaurant food safety. Food Policy, 49, 160–166.

Amani, M., & Bahrami, M. (2021). Greenhouse dehumidification by zeolite-based desiccant coated heat exchanger. Applied Thermal Engineering, 183, 116178.

Bahmani, L., Minaei, S., Banakar, A., Mahdavian, A., & Firouz, M. S. (2024). Thermography and deep learning for detection of ground beef adulteration. Microchemical Journal, 205, 111174.

Bhole, V., & Kumar, A. (2020). Mango quality grading using deep learning technique: Perspectives from agriculture and food industry. In Proceedings of the 21st Annual Conference on Information Technology Education (pp. 180–186).

Carta, F., Zida, C., Putzu, M. L., Anedda, M., & Giusto, D. (2023). Advancements in forest fire prevention: A comprehensive survey. Sensors, 23(14), 6635.

Coskun, G., & Aytekin, I. (2021). Early detection of mastitis by using infrared thermography in Holstein–Friesian dairy cows via classification and regression tree (CART) analysis. Selcuk Journal of Agriculture and Food Sciences, 35, 118–127.

Doosti-Irani, A., Golzarian, M. R., & Aghkhani, M. H. (2013). Development of multiple regression model to estimate the apple’s bruise depth using thermal maps. In Proceedings of the 8th National Congress on Agricultural Machinery Engineering (Biosystems) and Mechanization.

Doosti-Irani, O., Golzarian, M., Aghkhani, M., Sadrnia, H., & Doosti-Irani, M. (2016). Development of multiple regression model to estimate the apple’s bruise depth using thermal maps. Postharvest Biology and Technology, 116, 75–79.

Farokhzad, S., Modaress Motlagh, A., Ahmadi Moghaddam, P., Jalali Honarmand, S., & Kheiralipour, K. (2024). A machine learning system to identify progress level of dry rot disease in potato tuber based on digital thermal image processing. Scientific Reports, 14, 1995.

Farokhzad, S. A., Modaress Motlagh, A., Ahmadi Moghaddam, 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, 88–94.

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

Ghasemi, A., Bannayan, M., & Alizadeh, A. (2020). Assessment of cucumber water stress using infrared thermal imaging under greenhouse conditions. Agricultural Water Management, 239, 106267.

Gong, A., Li, J., & Chen, Y. (2021). A spatio-temporal brightness temperature prediction method for forest fire detection with MODIS data: A case study in San Diego. Remote Sensing, 13(15), 2900.

Golmohammadi, A., Razavi, M. S., & Tahmasebi. (2022). Prediction of peroxidase enzyme activity using near-infrared hyperspectral imaging in Red Delicious apples during storage period. New Technologies in Food Industry, 9(3), 239–254.

Hajalioghli, Z., & Ahmadi Moghaddam, P. (2024). Detection and classification of bruises on ‘Red Delicious’ apples using active thermography. Iranian Journal of Biosystems Engineering, 50, 415–425.

Haidary, P., Hajiahmad, A., & Roshan Ghyasi, H. (2020). Classification of ripe and unripe white berry fruit using thermal image processing. Iranian Journal of Biosystems Engineering, 51, 397–405.

Ishimwe, R., Abutaleb, K., & Ahmed, F. (2014). Applications of thermal imaging in agriculture: A review. Advances in Remote Sensing, 3, 128–140.

Ismail, I., Budiman, D., & Aidha, Z. R. (2022). The Smart Agriculture based on Reconstructed Thermal Image. Journal of Information Technology and Computer Engineering, 6, 8-13.

Jalali, N., & Kazemi, R. (2020). Detection of sub-surface spaces using thermal infrared images in Shiramin region, Azarshahr, Iran. Advance Applied Geology, 10, 370–381.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., & Javan-Nikkhah, M. (2011a). Investigation of total emissivity of pistachio kernel using thermal imaging technique. Journal of Agricultural Technology, 8, 435–441.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., & Javan-Nikkhah, M. (2011b). Thermography technology and its application in agricultural automation. Artificial Intelligence and Instrumentation, 5, 42–44.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., & Javan-Nikkhah, M. (2012). Use of thermal imaging cameras in measuring the total emissivity. Electronic Devices, 1, 30–34.

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

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., Javan-Nikkhah, M., & Jayas, D. S. (2013). Development of a new threshold-based classification model for analyzing thermal imaging data to detect fungal infection of pistachio kernel. Agricultural Research, 2, 127–131.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S., & Javan-Nikkhah, M. (2015). Classifying healthy and fungal infected pistachio kernel by thermal imaging technology. International Journal of Food Properties, 18, 93–99.

Kheiralipour, K., Ahmadi, H., Rajabipour, A., & Rafiee, S. (2018). Thermal imaging: Principles, methods and applications (1st ed.). Ilam University Publication.

Kheiralipour, K. (2021). Management of knowledge and technology in agriculture and natural resources. In Proceedings of the 13th National Congress on Biosystems Engineering and Agricultural Mechanization. September 15–17, Tehran, Iran.

Kheiralipour, K. (2022). Sustainable production: Definitions, aspects, and elements (1st ed.). Nova Science Publishers.

Kheiralipour, K., Chelladurai, V., & Jayas, D. S. (2023a). Imaging systems and image processing techniques. In D. S. Jayas (Ed.), Image processing: Advances in applications and research (1st ed.). Nova Science Publishers.

Kheiralipour, K., & Jayas, D. S. (2023). Image processing for the quality assessment of flour and flour-based baked products. In D. S. Jayas (Ed.), Image processing: Advances in applications and research (1st ed.). Nova Science Publishers.

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 D. S. Jayas (Ed.), Image processing: Advances in applications and research (1st ed.). Nova Science Publishers.

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.

Kibar, M. (2023). Thermal image processing: A novel approach to predicting honey quality. Research Square.

Kord, M., Alizadeh, H., Salari, K., & Farzaneh, M. (2016). The effect of plant extracts on the control of cucumber fluffy mildew. In Proceedings of the 22nd Iranian Plant Protection Congress.

Liu, Q., Li, M., Wang, W., Jin, S., Piao, H., Jiang, Y., & Yao, H. (2025). Infrared thermography in clinical practice: a literature review. European Journal of Medical Research, 30(1), 33.

Moradi, F., Javan, F., & Samadzadehgan, F. (2022). Potential evaluation of visible-thermal UAV image fusion for individual tree detection based on convolutional neural network. International Journal of Applied Earth Observation and Geoinformation, 113, 103011.

Mwinuka, P., Usio, C., Changa, L., & Kumwenda, M. (2021). Monthly and seasonal rainfall concentrations and predictability in Tanzania. Tanzania Journal of Science, 47, 243–257.

Neinavaz, E., Schlerf, M., Darvishzadeh, R., Gerhards, M., & Skidmore, A. K. (2021). Thermal infrared remote sensing of vegetation: current status and perspectives. International Journal of Applied Earth Observation and Geoinformation, 102, 102415.

Nti, I. K., Zaman, A., Nyarko-Boateng, O., Adekoya, A., & Keyerremeh, F. (2023). A predictive analytics model for crop suitability and productivity with tree-based ensemble learning. Decision Analytics Journal, 8, 100311.

Pineda, M., Barón, M., & Pérez-Bueno, M.-L. (2021). Thermal imaging for plant stress detection and phenotyping. Remote Sensing, 13(1), 68.

Ramezani, Y., Taheri, P., & Mamarabadi, M. (2019). Identification of Alternaria spp. associated with tomato early blight in Iran and investigating some of their virulence factors. Journal of Plant Pathology, 101(3), 647–659.

Sajadipour, F., & Kheiralipour, K. (2024). Application of thermal imaging in agriculture, natural resources, and food industries in Iran. In Proceedings of the 16th National Congress on Mechanics of Biosystems Engineering and Agriculture Mechanization. October 2–4, 2024.

Samadzadeh, S., & Gohari, G. (2016). A review on the application of thermal imaging in agriculture. In Proceedings of the 2nd National Congress on the Development of Agricultural Sciences and Natural Resources, Gorgan, Iran.

Shoa, P., Hemmat, A., Amirfattahi, R., & Qhyesari, M. (2015). Water stress monitoring in olive trees using thermal imaging. Iranian Journal of Biosystems Engineering, 46(4), 339–345.

Stockton, G. R., & Lucas, R. G. (2012). Using aerial infrared thermography to detect utility theft of service. In Thermal Infrared Applications (Paper No. 83540T). SPIE.

Vibhute, A., & Shrikant, K. (2012). Applications of image processing in agriculture. International Journal of Computer Applications, 52(2), 34–40.

Vadivambal, R., & Jayas, D. S. (2016). Bio-imaging: Principles, techniques, and applications (1st ed.). CRC Press.

Xing, J., Saeys, W., & Baerdemaeker, J. (2007). Combination of chemometric tools and image processing for bruise detection on apples. Computers and Electronics in Agriculture, 56, 1–13.

Yang, N., Yuan, P. W., Rongbiao, Z., Jun, S., & Hanping, M. (2019). Tea diseases detection based on fast infrared thermal image processing technology. Journal of the Science of Food and Agriculture, 99, 3459–3466.

Yousefzadeh, H., & Abbaspourfard, M. H. (2015). Application of thermography in agriculture. In Proceedings of the 3rd International Conference on Applied Research in Agricultural Sciences, February 13, 2015. Tehran, Iran.