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Monitoring and Optimization of the Process of Drying Fruits and Vegetables Using Computer Vision: A Review

Author

Listed:
  • Flavio Raponi

    (Department for Innovation in Biological, Agro-food and Forest system (DIBAF), Tuscia University, 01100 Viterbo, Italy)

  • Roberto Moscetti

    (Department for Innovation in Biological, Agro-food and Forest system (DIBAF), Tuscia University, 01100 Viterbo, Italy)

  • Danilo Monarca

    (Department of Agricultural and Forestry Sciences, (DAFNE) Tuscia University, Via San Camillo de Lellis snc, 01100 Viterbo, Italy)

  • Andrea Colantoni

    (Department of Agricultural and Forestry Sciences, (DAFNE) Tuscia University, Via San Camillo de Lellis snc, 01100 Viterbo, Italy)

  • Riccardo Massantini

    (Department for Innovation in Biological, Agro-food and Forest system (DIBAF), Tuscia University, 01100 Viterbo, Italy)

Abstract

An overview is given regarding the most recent use of non-destructive techniques during drying used to monitor quality changes in fruits and vegetables. Quality changes were commonly investigated in order to improve the sensory properties (i.e., appearance, texture, flavor and aroma), nutritive values, chemical constituents and mechanical properties of drying products. The application of single-point spectroscopy coupled with drying was discussed by virtue of its potentiality to improve the overall efficiency of the process. With a similar purpose, the implementation of a machine vision (MV) system used to inspect foods during drying was investigated; MV, indeed, can easily monitor physical changes (e.g., color, size, texture and shape) in fruits and vegetables during the drying process. Hyperspectral imaging spectroscopy is a sophisticated technology since it is able to combine the advantages of spectroscopy and machine vision. As a consequence, its application to drying of fruits and vegetables was reviewed. Finally, attention was focused on the implementation of sensors in an on-line process based on the technologies mentioned above. This is a necessary step in order to turn the conventional dryer into a smart dryer, which is a more sustainable way to produce high quality dried fruits and vegetables.

Suggested Citation

  • Flavio Raponi & Roberto Moscetti & Danilo Monarca & Andrea Colantoni & Riccardo Massantini, 2017. "Monitoring and Optimization of the Process of Drying Fruits and Vegetables Using Computer Vision: A Review," Sustainability, MDPI, vol. 9(11), pages 1-27, November.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2009-:d:117359
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    Citations

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    Cited by:

    1. Andrea Colantoni & Nicola Lacetera & Loredana Basiricò & Massimo Malacarne & Andrea Summer & Umberto Bernabucci, 2022. "Innovative Technologies for the Feeding of Dairy Cattle to Ensure Animal Welfare and Production Quality—INNOVALAT," Agriculture, MDPI, vol. 12(5), pages 1-4, April.
    2. Juan Manuel Castagnini & Silvia Tappi & Urszula Tylewicz & Santina Romani & Pietro Rocculi & Marco Dalla Rosa, 2021. "Sustainable Development of Apple Snack Formulated with Blueberry Juice and Trehalose," Sustainability, MDPI, vol. 13(16), pages 1-11, August.
    3. Haiming Yu & Yuhui Hu & Lianxing Qi & Kai Zhang & Jiwen Jiang & Haiyuan Li & Xinyue Zhang & Zihan Zhang, 2023. "Hyperspectral Detection of Moisture Content in Rice Straw Nutrient Bowl Trays Based on PSO-SVR," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    4. Radosław Winiczenko & Krzysztof Górnicki & Agnieszka Kaleta & Monika Janaszek-Mańkowska & Aneta Choińska & Jędrzej Trajer, 2018. "Apple Cubes Drying and Rehydration. Multiobjective Optimization of the Processes," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    5. M. Mofijur & Teuku Meurah Indra Mahlia & Arridina Susan Silitonga & Hwai Chyuan Ong & Mahyar Silakhori & Muhammad Heikal Hasan & Nandy Putra & S.M. Ashrafur Rahman, 2019. "Phase Change Materials (PCM) for Solar Energy Usages and Storage: An Overview," Energies, MDPI, vol. 12(16), pages 1-20, August.

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