Kheiralipour, K. Sustainable Production, Definitions, Aspects, and Elements (Nova Science Publishers, 2022).
Wang, N., Reidsma, P., Pronk, A. A., de Wit, A. J. W. & van Ittersum, M. K. Can potato add to China’s food self-sufficiency? The scope for increasing potato production in China. Eur. J. Agron. 101, 20–29 (2018).
Bojanowski, A., Avis, T. J., Pelletier, S. & Tweddell, R. J. Management of potato dry rot. Postharvest Biol. Technol. 84, 99–109 (2013).
Mecteau, M. R., Arul, J. & Tweddell, R. J. Effect of organic and inorganic salts on the growth and development of Fusarium sambucinum, a causal agent of potato dry rot. Mycol. Res. 106(6), 688–696 (2002).
Mecteau, M. R., Arul, J. & Tweddell, R. J. Effect of different salts on the development of Fusarium solani var coeruleum, a causal agent of potato dry rot. Phytoprotection 89(1), 1–6 (2008).
Stefanczyk, E., Sobkowiak, S., Brylinska, M. & Sliwka, J. Diversity of Fusarium spp. associated with dry rot of potato tubers in Poland. Eur. J. Plant Pathol. 145(4), 871–884 (2016).
Islam, M., Dinh, A., Wahid, K. & Bhowmik, P. Detection of potato diseases using image segmentation and multiclass support vector machine. In IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) (IEEE, 2017).
Teena, M., Manickavasagan, A., Mothershaw, A., El Hadi, S. & Jayas, D. S. Potential of machine vision techniques for detecting fecal and microbial contamination of food products: A review. Food Bioprocess Technol. 6, 1621–1634 (2013).
Kheiralipour, K. et al. Processing the hyperspectral images for detecting infection of pistachio kernel by R5 and KK11 isolates of Aspergillus flavus fungus. Iran. J. Biosyst. Eng. 52(1), 13–25 (2021).
Vadivambal, R. & Jayas, D. S. Applications of thermal imaging in agriculture and food industry—a review. Food Bioprocess Technol. 4, 186–199 (2011).
Saccon, F. A. M., Parcey, D., Paliwal, J. & Sherif, S. S. Assessment of fusarium and deoxynivalenol using optical methods. Food Bioprocess Technol. 10, 34–50 (2017).
Kheiralipour, K., Ahmadi, H., Rajabipour, A. & Rafiee, S. Thermal Imaging, Principle, Methods, and Applications (Ilam University Publication, 2018).
Kheiralipour, K., Chelladurai, V. & Jayas, D. S. Imaging systems and image processing techniques. In Image Processing: Advances in Applications and Research (ed. Jayas, D. S.) (Nova Science Publishers, 2023).
Manickavasagan, A., Jayas, D. S., White, N. D. G. & Paliwal, J. Wheat class identification using thermal imaging. Food Bioprocess Technol. 3, 450–460 (2010).
Kheiralipour, K., Sing, C. B. & Jayas, D. S. Applications of visible, thermal, and hyperspectral imaging techniques in the assessment of fruits and vegetables. In Image Processing: Advances in Applications and Research (ed. Jayas, D. S.) (Nova Science Publishers, 2023).
Gowen, A. A., Tiwari, B. K., Cullen, P. J., McDonnell, K. & O’Donnell, C. P. Applications of thermal imaging in food quality and safety assessment. Trends Food Sci. Technol. 21(4), 190–200 (2010).
Chen, Q., Zhang, C., Zhao, J. & Ouyang, Q. Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety. TrAC Trends Anal. Chem. 52, 261–274 (2013).
Mutka, A. M. & Bart, R. S. Image-based phenotyping of plant disease symptoms. Front. Plant Sci. 5, 734 (2015).
Wang, Y., Zia-Khan, S., Owusu-Adu, S., Miedaner, T. & Muller, J. Early detection of zymoseptoria tritici in winter wheat by infrared thermography. Agriculture 9(7), 139 (2019).
Park, J. & Kim, K. W. Outdoor infrared imaging for spatial and temporal thermography: A case study of necrotic versus healthy leaf areas on woody plants. J. Phytopathol. 169, 62–70 (2020).
Chelladurai, V., Jayas, D. S. & White, N. D. G. Thermal imaging for detecting fungal infection in stored wheat. J. Stored Prod. Res. 46(3), 174–179 (2010).
Senthilkumar, T., Jayas, D. S., White, N. D. G., Fields, P. G. & Grafenhan, T. Detection of fungal infection and Ochratoxin A contamination in stored wheat using near-infrared hyperspectral imaging. J. Stored Prod. Res. 65, 30–39 (2016).
Kheiralipour, K. et al. Development of a new threshold based classification model for analyzing thermal imaging data to detect fungal infection of pistachio kernel. Agric. Res. 2(2), 127–131 (2013).
Kheiralipour, K. et al. Detection of fungal infection in pistachio kernel by long-wave near-infrared hyperspectral imaging technique. Qual. Assur. Saf. Crops Foods 8(1), 129–135 (2016).
Wawrzyniak, J. Model of fungal development in stored barley ecosystems as a prognostic auxiliary tool for postharvest preservation systems. Food Bioprocess Technol. 14, 298–309 (2021).
Kheiralipour, K. & Pormah, A. Introducing new shape features for classification of cucumber fruit based on image processing technique and artificial neural networks. J. Food Process Eng. 40(6), 12558 (2017).
Azadnia, R. & Kheiralipour, K. Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm. Ecol. Inform. 71, 101804 (2022).
Almeida, M., Torrance, K. E. & Datta, A. K. Measurement of optical properties of foods in near- and mid-infrared radiation. Int. J. Food Prop. 9, 651–664 (2006).
Kheiralipour, K., Ahmadi, H., Rajabipour, A., Rafiee, S. & Javan-Nikkhah, M. Classifying healthy and fungal infected-pistachio kernel by thermal imaging technology. Int. J. Food Prop. 18, 93–99 (2015).
Agrios, G. N. Plant pathology 5th edn. Department of Plant Pathology. University of Florida, United States of America (2005).
Sharifi, K., Zare, R. & Zamanizadeh, H. R. Arjmandian A Fusarium species causing dry rot of potatoes in Ardabil, Tehran and Hamedan Provinces. Appl. Entomol. Phytopathol. 76(2), 93–113 (2009).
Chen, D. et al. A simple and efficient inoculation method for Fusarium dry rot evaluations in potatoes. Am. J. Potato Res. 97(3), 265–271 (2020).
Chehri, K., Ghasempour, H. R. & Karimi, N. Molecular phylogenetic and pathogenetic characterization of Fusarium solani species complex (FSSC), the cause of dry rot on potato in Iran. Microb. Pathog. 67, 14–19 (2014).
Farokhzad, S. The detection of fungi infection in potato (Fusarium solani) using thermography. Ph.D. Dissertation, Urmia University, Urmia, Iran (2017).
Wiersma, D. S., Bartolini, P., Lagendijk, A. & Righini, R. Localization of light in a disordered medium. Nature 390, 671–673. https://doi.org/10.1038/37757 (1997).
Huang, M., Yu, W. & Zhu, D. An improved image segmentation algorithm based on the Otsu method. In 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (IEEE, 2012).
Taheri-Garavand, A. et al. An intelligent approach for cooling radiator fault diagnosis based on infrared thermal image processing technique. Appl. Therm. Eng. 87, 434–443 (2015).
Aygun, S. & Gunes, E. O. A benchmarking, Feature extraction and classification of agricultural textures using LBP, GLCM, RBO, Neural Networks, k-NN, and random forest. In 6th International Conference on Agro-Geoinformatics (IEEE, 2017).
Patricio, D. I. & Rieder, R. Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Comput. Electron. Agric. 153, 69–81 (2018).
Khazaee, Y., Kheiralipour, K., Hosainpour, A., Javadikia, H. & Paliwal, J. Development of a novel image analysis and classification algorithms to separate tubers from clods and stones. Potato Res. 65(1), 1–22 (2022).
Kheiralipour, K., Nadimi, M. & Paliwal, J. Development of an intelligent imaging system for ripeness determination of wild pistachios. Sensors 22(19), 7134 (2022).
Azadnia, R. & Kheiralipour, K. Recognition of leaves of different medicinal plant species using a robust image processing algorithm and artificial neural networks classifier. J. Appl. Res. Med. Aromat. Plants 25, 100327 (2021).
Tirumazhisai Manivannan, K. Development of gray level co-occurrence matrix based support vector machines for particulate matter characterization. University of Toledo (2012).
Hosainpour, A., Kheiralipour, K., Nadimi, M. & Paliwal, J. Quality assessment of dried white mulberry (Morus alba L.) using machine vision. Horticulturae 89(11), 1011 (2022).
Salam, S., Kheiralipour, K. & Jian, F. Detection of unripe kernels and foreign materials in chickpea mixtures using image processing. Agriculture 12(7), 995 (2022).
