| [1] |
Aghbashlo M, Hosseinpour S, Ghasemi-Varnamkhasti M. 2014. Computer vision technology for real-time food quality assurance during drying process. |
| [2] |
Chen J, Zhang M, Xu B, Sun J, Mujumdar AS. 2020. Artificial intelligence assisted technologies for controlling the drying of fruits and vegetables using physical fields: A review. |
| [3] |
Sun Q, Zhang M, Mujumdar AS. 2019. Recent developments of artificial intelligence in drying of fresh food: A review. |
| [4] |
Guo J, Zhang X, Liu Y, Wu J, Xu H, et al. 2026. Intelligent monitoring, predicting, and control technology of food drying: Recent advances, challenges, and future prospects. |
| [5] |
Sinha BB, Dhanalakshmi R. 2022. Recent advancements and challenges of Internet of Things in smart agriculture: a survey. |
| [6] |
Chakravartula SSN, Bandiera A, Nardella M, Bedini G, Ibba P, et al. 2023. Computer vision-based smart monitoring and control system for food drying: a study on carrot slices. |
| [7] |
Acar C, Dincer I, Mujumdar A. 2022. A comprehensive review of recent advances in renewable-based drying technologies for a sustainable future. |
| [8] |
Venugopal V, Shahidi F. 1998. Traditional methods to process underutilized fish species for human consumption. |
| [9] |
Fathi F, Ebrahimi SN, Matos LC, Oliveira MBPP, Alves RC. 2022. Emerging drying techniques for food safety and quality: A review. |
| [10] |
Knorr D, Augustin MA. 2023. Preserving the food preservation legacy. |
| [11] |
Mujumdar AS. 2007. An overview of innovation in industrial drying: current status and R&D needs. |
| [12] |
Hayashi H. 1989. Drying technologies of foods: Their history and future. |
| [13] |
Mujumdar AS. 2006. Impingement drying. In Handbook of Industrial Drying, ed. Mujumdar AS. Boca Raton. FL: CRC Press. pp. 385–396 doi: 10.1201/9781420017618.ch15 |
| [14] |
Daghigh R, Ruslan MH, Sulaiman MY, Sopian K. 2010. Review of solar assisted heat pump drying systems for agricultural and marine products. |
| [15] |
Hou Y, Wu W, Li Z, Yu X, Zeng T. 2023. Effect of drying air supply temperature and internal heat exchanger on performance of a novel closed-loop transcritical CO2 air source heat pump drying system. |
| [16] |
Osepchuk JM. 1984. A history of microwave heating applications. |
| [17] |
Zhou X, Wang S. 2019. Recent developments in radio frequency drying of food and agricultural products: a review. |
| [18] |
Wróblewski R, Wróblewski J, Anniko M, Edström L. 1985. Freeze-drying and related preparation techniques for biological microprobe analysis. Scanning Electron Microscopy 1985(1):447−454 |
| [19] |
Zhai S, Hansen RK, Taylor R, Skepper JN, Sanches R, Slater NKH. 2004. Article title requires verification. |
| [20] |
Asrate DA, Ali AN. 2025. Review on the recent trends of food dryer technologies and optimization methods of drying parameters. |
| [21] |
Agregán R, Echegaray N, Munekata PES, Kumar M, Dominguez R, et al. 2024. Freeze-drying of meat and seafood products. In Freeze Drying of Food Products, eds. Waghmare RB, Kumar M, Panesar PS. Hoboken, NJ: Wiley. pp. 105–126 doi: 10.1002/9781119982098.ch4 |
| [22] |
Jangam SV. 2011. An overview of recent developments and some R&D challenges related to drying of foods. |
| [23] |
Kudra T, Ratti C. 2006. Foam-mat drying: Energy and cost analyses. Canadian Biosystems Engineering 48:3.27−3.32 |
| [24] |
McCormick PY. 2000. Drying. In Kirk-Othmer Encyclopedia of Chemical Technology. USA: John Wiley & Sons. doi: 10.1002/0471238961.0418250913030315.a01 |
| [25] |
Ramya V, Jain NK. 2017. A review on osmotic dehydration of fruits and vegetables: an integrated approach. |
| [26] |
Zbicinski I. 2002. Equipment, technology, perspectives and modeling of pulse combustion drying. |
| [27] |
Mohapatra D, Mishra S. 2011. Current trends in drying and dehydration of foods. In B. C. Siegler, ed. Food engineering. New York: Nova Science Publishers. pp. 311–351 |
| [28] |
Ziaee A, Albadarin AB, Padrela L, Femmer T, O'Reilly E, et al. 2019. Spray drying of pharmaceuticals and biopharmaceuticals: Critical parameters and experimental process optimization approaches. |
| [29] |
Chua KJ, Chou SK, Ho JC, Hawlader MNA. 2002. Heat pump drying: recent developments and future trends. |
| [30] |
Mujumdar AS (Ed.). 2006. Handbook of Industrial Drying. 3rd ed. Boca Raton: CRC Press. 1296 pp doi: 10.1201/9781420017618 |
| [31] |
Santos T, Valente MA, Monteiro J, Sousa JP, et al. 2011. Electromagnetic and thermal history during microwave heating. |
| [32] |
Daily J, Peterson J. 2017. Predictive maintenance: How big data analysis can improve maintenance. In Supply Chain Integration Challenges in Commercial Aerospace, eds. Richter K, Walther J. Cham: Springer. pp. 267–278 doi: 10.1007/978-3-319-46155-7_18 |
| [33] |
Orphanides A, Goulas V, Gekas V. 2016. Drying technologies: vehicle to high-quality herbs. |
| [34] |
Sutar SV, Yadav GD. 2023. Advancements in spray drying system for heat recovery, methodology, and economics: a review. |
| [35] |
Li J, Liu C, Chang K, Chen S, Jin Y. 2026. A review of digital twin applications for optimizing grain drying: challenges and opportunities. |
| [36] |
Pallavi GM, Saraswathi JM, Kunigal Sridhar S, R NK, Goudanavar P, et al. 2026. Spray Drying 4.0: integrating AI, real-time monitoring, and green solvents in pharmaceutical and nutraceutical formulations. |
| [37] |
Martynenko A, Mujumdar A. 2024. Evolution of control strategies toward intelligent drying. |
| [38] |
Zhang W, Wang K, Chen C. 2022. Artificial neural network assisted multiobjective optimization of postharvest blanching and drying of blueberries. |
| [39] |
Li J, Li Z, Wang N, Raghavan GSV, Pei Y, et al. 2020. Novel sensing technologies during the food drying process. |
| [40] |
Wang R, Han F, Jin Y, Wu W. 2020. Correlation between moisture content and machine vision image characteristics of corn kernels. |
| [41] |
You J, Li D, Wang Z, Chen Q, Ouyang Q. 2024. Prediction and visualization of moisture content in Tencha drying processes by computer vision and deep learning. |
| [42] |
Liu Z, Zhang R, Yang C, Hu B, Luo X, et al. 2022. Research on moisture content detection method during green tea processing based on machine vision and near-infrared spectroscopy technology. |
| [43] |
Ouertani S, Stéphan A, Perré P, L'Hostis C, Rémond R. 2024. Evaluating moisture transfer properties of wood by inverse analysis of moisture content profiles determined during drying by X-ray attenuation. |
| [44] |
Cao R, Liu X, Liu Y, Zhai X, Cao T, et al. 2021. Applications of nuclear magnetic resonance spectroscopy to the evaluation of complex food constituents. |
| [45] |
Wu Y, Wu W, Han F, Zhang Y, Xu Y. 2017. Intelligent monitoring and control of grain continuous drying process based on multi-parameter corn accumulated temperature model. Proc. 2017 International Conference on Smart Grid and Electrical Automation, Changsha, China, 2017. Piscataway, NJ: IEEE. pp. 77–80 doi: 10.1109/ICSGEA.2017.129 |
| [46] |
Amelia A, Roslina, Fahmi N, Zarlis M, Sundawa BV. 2020. Smart control of temperature and humidity for opak dryer oven. |
| [47] |
He C, Zhong G, Wu H, Cheng L, Huang Q. 2022. A smart reheating and defrosting microwave oven based on infrared temperature sensor and humidity sensor. |
| [48] |
Buonocore D, Carratu M, Ciavolino G, Di Caro D, Liguori C, et al. 2022. A smart sensing system for the fig drying process. Proc. 2022 IEEE Workshop on Metrology for Agriculture and Forestry, 2022. Piscataway, NJ: IEEE. pp. 75–79 doi: 10.1109/MetroAgriFor55389.2022.9964768 |
| [49] |
Wutthithanyawat C, Srisiriwat N. 2016. Temperature control of heating zone for drying process: effect of air velocity change. |
| [50] |
Jeyapradhap T, Srinivasan G, Raja B. 2023. Endpoint estimation using a measurement sensor for freeze-drying process control. |
| [51] |
Ajisegiri ESA, Adediran AA, Adekanye TA, Salami AM, Audu J. 2022. Development of a smart grain storage Silo using the Internet of Things (IoT) technology. |
| [52] |
Sun L, Zheng X, Zhang P, Cai J, Bai J. 2023. Research on the correlation between three-dimensional morphology and temperature changes in potato slices during drying. |
| [53] |
Cao X, Zhang M, Qian H, Mujumdar AS. 2017. Drying based on temperature-detection-assisted control in microwave-assisted pulse-spouted vacuum drying. |
| [54] |
Li T, Tong J, Liu M, Yao M, Xiao Z, et al. 2022. Online detection of impurities in corn deep-bed drying process utilizing machine vision. |
| [55] |
Seyedabadi E, Khojastehpour M, Abbaspour-Fard MH. 2019. Online measuring of quality changes of banana slabs during convective drying. |
| [56] |
Raponi F, Moscetti R, Monarca D, Colantoni A, Massantini R. 2017. Monitoring and optimization of the process of drying fruits and vegetables using computer vision: A review. |
| [57] |
Li J, Li Z, Li L, Song C, Raghavan GSV, et al. 2021. Microwave drying of balsam pear with online aroma detection and control. |
| [58] |
Balthazar CF, Guimarães JT, Rocha RS, Pimentel TC, Neto RPC, et al. 2021. Nuclear magnetic resonance as an analytical tool for monitoring the quality and authenticity of dairy foods. |
| [59] |
Guo J, Tian W, Cheng X, Yun W. 2024. Study on the evolution of concrete pore structure and moisture transfer mechanism after high temperature based on different sequence NMR technology. |
| [60] |
Hediger S, Emsley L, Fischer M. 1999. Solid-state NMR characterization of hydration effects on polymer mobility in onion cell-wall material. |
| [61] |
Lv W, Zhang M, Wang Y, Adhikari B. 2018. Online measurement of moisture content, moisture distribution, and state of water in corn kernels during microwave vacuum drying using novel smart NMR/MRI detection system. |
| [62] |
Moscetti R, Raponi F, Ferri S, Colantoni A, Monarca D, et al. 2018. Real-time monitoring of organic apple (var. Gala) during hot-air drying using near-infrared spectroscopy. |
| [63] |
Qu JH, Sun DW, Cheng JH, Pu H. 2017. Mapping moisture contents in grass carp (Ctenopharyngodon idella) slices under different freeze drying periods by Vis-NIR hyperspectral imaging. |
| [64] |
Lodhi V, Chakravarty D, Mitra P. 2019. Hyperspectral imaging system: development aspects and recent trends. |
| [65] |
ElMasry G, Sun DW. 2010. Principles of hyperspectral imaging technology. In Hyperspectral Imaging for Food Quality Analysis and Control, ed. Sun DW. Cambridge: Academic Press. pp. 3–43 doi: 10.1016/B978-0-12-374753-2.10001-2 |
| [66] |
Su WH, Xue H. 2021. Imaging spectroscopy and machine learning for intelligent determination of potato and sweet potato quality. |
| [67] |
Al-Dayyeni WS, Al-Yousif S, Taher MM, Al-Faouri AW, Tahir NM, et al. 2021. A review on electronic nose: Coherent taxonomy, classification, motivations, challenges, recommendations and datasets. |
| [68] |
Wu J, Ling C, Chen Y, Li Z, Song F, et al. 2021. Monitoring and control of microwave drying with volatiles detection of celery stalks. |
| [69] |
Song F, Hao X, Li Z, Jing L, Li L, et al. 2023. Monitoring the baking quality of Tieguanyin via electronic nose combined with GC–MS. |
| [70] |
Baltacıoğlu C. 2024. Prediction of apple drying level by machine learning and electronic nose. |
| [71] |
Yang T, Zheng X, Vidyarthi SK, Xiao H, Yao X, et al. 2023. Artificial neural network modeling and genetic algorithm multiobjective optimization of process of drying-assisted walnut breaking. |
| [72] |
Dekhtiar J, Durupt A, Bricogne M, Eynard B, Rowson H, et al. 2018. Deep learning for big data applications in CAD and PLM: Research review, opportunities and case study. |
| [73] |
Bharany S, Sharma S, Khalaf OI, Abdulsahib GM, Al Humaimeedy AS, et al. 2022. A systematic survey on energy-efficient techniques in sustainable cloud computing. |
| [74] |
Yang T, Zheng X, Xiao H, Shan C, Zhang J. 2024. Moisture content online detection system based on multi-sensor fusion and convolutional neural network. |
| [75] |
Sun J, Sundaresan S. 2011. A constitutive model with microstructure evolution for flow of rate-independent granular materials. |
| [76] |
Çelik E, Koç MA, Parlak N, Çay Y. 2024. Prediction of the capacitance of the corn drying process parameter using adaptive-neuro-fuzzy intelligent technique with experimental validation. |
| [77] |
Chen C, Liu B, Song F, Jiang J, Li Z, et al. 2022. An adaptive fuzzy logic control of green tea fixation process based on image processing technology. |
| [78] |
Zhang Y, Fang Z, Li C, Li C. 2024. Deep-learning-based model predictive control of an industrial-scale multistate counter-flow paddy drying process. |
| [79] |
Fan L, Pei Y, Zhang L, Kong J, Xu W. 2025. Applications of machine learning models in agricultural product drying: a comprehensive review of advances, challenges, and prospects. |
| [80] |
Talele P, Chaudhari VD, Talele H, Chaudhari DV. 2025. Evolution of drying process modeling: from mathematical foundations to machine learning-driven prediction and control. |
| [81] |
Patel V, Chesmore A, Legner CM, Pandey S. 2022. Trends in workplace wearable technologies and connected-worker solutions for next-generation occupational safety, health, and productivity. |
| [82] |
Yan K, Tan M, Li M, Duan L, Gao L, et al. 2025. Prediction of moisture variation during fish fillet drying using hyperspectral imaging combined with deep learning technology. |
| [83] |
Jia Z, Liu Y, Xiao H. 2024. Deep learning prediction of moisture and color kinetics of apple slices by long short-term memory as affected by blanching and hot-air drying conditions. |
| [84] |
Karimi N, Arabhosseini A, Karimi M, Kianmehr MH. 2018. Web-based monitoring system using Wireless Sensor Networks for traditional vineyards and grape drying buildings. |
| [85] |
Golovina O, Teizer J, Johansen KW, König M. 2021. Towards autonomous cloud-based close call data management for construction equipment safety. |
| [86] |
Cavalcante ES, Vasconcelos LGS, Brito KD, Brito RP. 2023. Neural network predictive control applied to automotive paint drying and curing processes. |
| [87] |
Nagaro G, Koc-Lem A, Vinces L, Ronceros J, Mesones G. 2020. Acquiring, monitoring, and recording data based on the Industrie 4.0 standard geared toward the Maca drying process. In Advances in Emerging Trends and Technologies, Volume 1, eds. Botto-Tobar M, León-Acurio J, Díaz Cadena A, Montiel Díaz P. Cham: Springer. pp. 42–53 doi: 10.1007/978-3-030-32022-5_5 |
| [88] |
Wagh N, Agashe SD. 2023. Monitoring exhaust air temperature and detecting faults during milk spray drying using data-driven framework. |
| [89] |
Ge Y, Ma QY, Wang SY, Mujumdar AS, Huang X, et al. 2026. Recent advances of pretreatments and drying technologies in processing small berries: a comprehensive review. |
| [90] |
Pandey V, Pant M, Snasel V. 2022. Blockchain technology in food supply chains: Review and bibliometric analysis. |