IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i11p3173-d237582.html
   My bibliography  Save this article

Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach

Author

Listed:
  • Sandeep Jagtap

    (Centre for SMART, Loughborough University, Loughborough LE11 3TU, UK)

  • Chintan Bhatt

    (Department of Computer Engineering, Charotar University of Science and Technology, Anand, Gujarat 388421, India)

  • Jaydeep Thik

    (Department of Computer Engineering, Charotar University of Science and Technology, Anand, Gujarat 388421, India)

  • Shahin Rahimifard

    (Centre for SMART, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

Approximately one-third of the food produced globally is spoiled or wasted in the food supply chain (FSC). Essentially, it is lost before it even reaches the end consumer. Conventional methods of food waste tracking relying on paper-based logs to collect and analyse the data are costly, laborious, and time-consuming. Hence, an automated and real-time system based on the Internet of Things (IoT) concepts is proposed to measure the overall amount of waste as well as the reasons for waste generation in real-time within the potato processing industry, by using modern image processing and load cell technologies. The images captured through a specially positioned camera are processed to identify the damaged, unusable potatoes, and a digital load cell is used to measure their weight. Subsequently, a deep learning architecture, specifically the Convolutional Neural Network (CNN), is utilised to determine a potential reason for the potato waste generation. An accuracy of 99.79% was achieved using a small set of samples during the training test. We were successful enough to achieve a training accuracy of 94.06%, a validation accuracy of 85%, and a test accuracy of 83.3% after parameter tuning. This still represents a significant improvement over manual monitoring and extraction of waste within a potato processing line. In addition, the real-time data generated by this system help actors in the production, transportation, and processing of potatoes to determine various causes of waste generation and aid in the implementation of corrective actions.

Suggested Citation

  • Sandeep Jagtap & Chintan Bhatt & Jaydeep Thik & Shahin Rahimifard, 2019. "Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach," Sustainability, MDPI, vol. 11(11), pages 1-12, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3173-:d:237582
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/11/3173/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/11/3173/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juliane Jörissen & Carmen Priefer & Klaus-Rainer Bräutigam, 2015. "Food Waste Generation at Household Level: Results of a Survey among Employees of Two European Research Centers in Italy and Germany," Sustainability, MDPI, vol. 7(3), pages 1-21, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dion M. F. Frampton & Nawshad Haque & David I. Verrelli & Geoff J. Dumsday & Kim Jye Lee-Chang, 2021. "Process Design Guided by Life Cycle Assessment to Reduce Greenhouse Gas-Related Environmental Impacts of Food Processing," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    2. Jae Hong Park & Phil Goo Kang & Eunseok Kim & Tae Woo Kim & Gahee Kim & Heejeong Seok & Jinwon Seo, 2021. "Introduction of IoT-Based Surrogate Parameters in the Ex-Post Countermeasure of Industrial Sectors in Integrated Permit Policy," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    3. Sandeep Jagtap & George Skouteris & Vilendra Choudhari & Shahin Rahimifard & Linh Nguyen Khanh Duong, 2021. "An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    4. Tamíris Pacheco da Costa & James Gillespie & Katarzyna Pelc & Abi Adefisan & Michael Adefisan & Ramakrishnan Ramanathan & Fionnuala Murphy, 2022. "Life Cycle Assessment Tool for Food Supply Chain Environmental Evaluation," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    5. de Souza, Michele & Pereira, Giancarlo Medeiros & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose & Trento, Luiz Reni & Borchardt, Miriam & Zvirtes, Leandro, 2021. "A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Hana Trollman & Guillermo Garcia-Garcia & Sandeep Jagtap & Frank Trollman, 2022. "Blockchain for Ecologically Embedded Coffee Supply Chains," Logistics, MDPI, vol. 6(3), pages 1-17, June.
    7. Anish Paul Antony & Kendra Leith & Craig Jolley & Jennifer Lu & Daniel J. Sweeney, 2020. "A Review of Practice and Implementation of the Internet of Things (IoT) for Smallholder Agriculture," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    8. Ghannouchi, Imen, 2023. "Examining the dynamic nexus between industry 4.0 technologies and sustainable economy: New insights from empirical evidence using GMM estimator across 20 OECD nations," Technology in Society, Elsevier, vol. 75(C).
    9. Francisco Carlos Vaz Sales & Michele De Souza & Luiz Reni Trento & Giancarlo Medeiros Pereira & Miriam Borchardt & Gabriel Sperandio Milan, 2023. "Food Waste in Distribution: Causes and Gaps to Be Filled," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    10. Guillermo Garcia-Garcia & Guy Coulthard & Sandeep Jagtap & Mohamed Afy-Shararah & John Patsavellas & Konstantinos Salonitis, 2021. "Business Process Re-Engineering to Digitalise Quality Control Checks for Reducing Physical Waste and Resource Use in a Food Company," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
    11. Guk-Jin Son & Dong-Hoon Kwak & Mi-Kyung Park & Young-Duk Kim & Hee-Chul Jung, 2021. "U-Net-Based Foreign Object Detection Method Using Effective Image Acquisition System: A Case of Almond and Green Onion Flake Food Process," Sustainability, MDPI, vol. 13(24), pages 1-20, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shahin Ghaziani & Delaram Ghodsi & Gholamreza Dehbozorgi & Shiva Faghih & Yeganeh Rajabpour Ranjbar & Reiner Doluschitz, 2021. "Comparing Lab-Measured and Surveyed Bread Waste Data: A Possible Hybrid Approach to Correct the Underestimation of Household Food Waste Self-Assessment Surveys," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    2. Lingfei Wang & Yuqin Yang & Guoyan Wang, 2022. "The Clean Your Plate Campaign: Resisting Table Food Waste in an Unstable World," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    3. Thyberg, Krista L. & Tonjes, David J., 2016. "Drivers of food waste and their implications for sustainable policy development," Resources, Conservation & Recycling, Elsevier, vol. 106(C), pages 110-123.
    4. Massimiliano Cerciello, 2021. "Spatial patterns in food waste at the local level. A preliminary analysis for Italian data," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 83-101, February.
    5. Elżbieta Goryńska-Goldmann & Michał Gazdecki & Krystyna Rejman & Joanna Kobus-Cisowska & Sylwia Łaba & Robert Łaba, 2020. "How to Prevent Bread Losses in the Baking and Confectionery Industry?—Measurement, Causes, Management and Prevention," Agriculture, MDPI, vol. 11(1), pages 1-24, December.
    6. Jiang, J.-Q. & Yu, T. & Wang, Z.-H. & Qi, D.-M & Huang, W.-Z, 2018. "Analyzing the Size and Affecting Factors of Household Food Waste in China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277551, International Association of Agricultural Economists.
    7. Eulalia Skawińska & Romuald I. Zalewski & Joanna Wyrwa, 2023. "Students’ Food Consumption Behavior during COVID-19 Lockdown," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    8. Vera Amicarelli & Christian Bux, 2021. "Food waste in Italian households during the Covid-19 pandemic: a self-reporting approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(1), pages 25-37, February.
    9. Principato, Ludovica & Secondi, Luca & Cicatiello, Clara & Mattia, Giovanni, 2022. "Caring more about food: The unexpected positive effect of the Covid-19 lockdown on household food management and waste," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. Theodoridis, Prokopis K. & Zacharatos, Theofanis V., 2022. "Food waste during Covid- 19 lockdown period and consumer behaviour – The case of Greece," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    11. Vera Amicarelli & Caterina Tricase & Alessia Spada & Christian Bux, 2021. "Households’ Food Waste Behavior at Local Scale: A Cluster Analysis after the COVID-19 Lockdown," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    12. Efrat Elimelech & Eyal Ert & Ofira Ayalon, 2019. "Exploring the Drivers behind Self-Reported and Measured Food Wastage," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    13. Çavuşa, Osman & Bayhan, Isa & Ismail, Balarabe B., 2022. "An Overview of the Effect of Covid-19 on Household Food Waste: How Does the Pandemic Affect Food Waste at the Household Level?," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 13(01), January.
    14. Marzena Tomaszewska & Beata Bilska & Danuta Kołożyn-Krajewska, 2022. "Behavior of Polish Consumers in Relation to Meals Ordered in Food Service Establishments in the Context of Plate Waste," Sustainability, MDPI, vol. 14(13), pages 1-17, July.
    15. Bernhard Wohner & Erik Pauer & Victoria Heinrich & Manfred Tacker, 2019. "Packaging-Related Food Losses and Waste: An Overview of Drivers and Issues," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    16. Gyula Kasza & Annamária Dorkó & Atilla Kunszabó & Dávid Szakos, 2020. "Quantification of Household Food Waste in Hungary: A Replication Study Using the FUSIONS Methodology," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    17. Fredrik Wikström & Helén Williams & Jakob Trischler & Zane Rowe, 2019. "The Importance of Packaging Functions for Food Waste of Different Products in Households," Sustainability, MDPI, vol. 11(9), pages 1-16, May.
    18. Priefer, Carmen & Jörissen, Juliane & Bräutigam, Klaus-Rainer, 2016. "Food waste prevention in Europe – A cause-driven approach to identify the most relevant leverage points for action," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 155-165.
    19. Bogevska, Zvezda & Berjan, Sinisa & El Bilali, Hamid & Sadegh Allahyari, Mohammad & Radosavac, Adriana & Davitkovska, Margarita, 2022. "Exploring food shopping, consumption and waste habits in North Macedonia during the COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    20. Kirrilly Thompson & Laura Haigh, 2017. "Representations of Food Waste in Reality Food Television: An Exploratory Analysis of Ramsay’s Kitchen Nightmares," Sustainability, MDPI, vol. 9(7), pages 1-10, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3173-:d:237582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.