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Spatial optimisation of mango leather production and colour estimation through conventional and novel digital image analysis technique

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Abstract

Being a seasonal fruit mango cannot be cherished over the year; dehydration may be a solution to preserve the deliquesce of mango as mango leather. The processing parameters like puree load (0.4–0.6 g/cm2), total soluble solid (20–30 °B), oven temperature (60–80 °C), and microwave power level (100–300 W) were optimised for a superior textural attribute (hardness) primitive drying method like sun drying, industrially practiced modern methods like hot air oven drying and microwave drying and cutting-edge drying technique like freeze-drying. Response surface methodology and artificial neural network technique were adapted to model these drying procedures by considering the central composite design. The mathematical operations guiding to describe the model were studied. Being an imperative parameter colour quantification is essential for food industries. Current research employs microwave drying to produce mango leather with colour quantification approach. The L, ‘a’ and ‘b’ values of the product have been measured by Hunter Lab colorimeter and by digital image analysis, to determine the chromatic view harmonious to human vision. The relative analysis of colour measurement through these two techniques has been studied.

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Acknowledgement

We acknowledge Dr. Subhendu Ghoshal for his support throughout the research work by providing necessary rare books and articles for a thorough literature survey. We also acknowledge the teaching and non teaching members of Malda polytechnic, Mr. Snehashis Guha (O.I.C. Malda Polytechnic) for their support throughout the work.

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Authors and Affiliations

  1. Department of Food Technology and Biochemical Engineering, Faculty of Engineering and Technology, Jadavpur University, Jadavpur, Kolkata, 700032, India

    Tanmay Sarkar, Molla Salauddin, Sudipta Kumar Hazra & Runu Chakraborty

  2. Malda Polytechnic, West Bengal State Council of Technical Education, Govt. of West Bengal, Malda, 732102, India

    Tanmay Sarkar

  3. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Tanupriya Choudhury

  4. Department of Geography, Kyungpook National University, Daegu, South Korea

    Jung-Sup Um

  5. Institute of Tropical Biodiversity and Sustainable Development, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia

    Siddhartha Pati

  6. Centre of Excellence, Khallikote University, Berhampur, Odisha, 761008, India

    Siddhartha Pati

  7. Research Division, Association for Biodiversity Conservation and Research (ABC), Balasore, Odisha, 745001, India

    Siddhartha Pati

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  1. Tanmay Sarkar
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  2. Molla Salauddin
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  3. Tanupriya Choudhury
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  4. Jung-Sup Um
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  5. Siddhartha Pati
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  6. Sudipta Kumar Hazra
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  7. Runu Chakraborty
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Correspondence to Runu Chakraborty.

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Sarkar, T., Salauddin, M., Choudhury, T. et al. Spatial optimisation of mango leather production and colour estimation through conventional and novel digital image analysis technique. Spat. Inf. Res. 29, 439–453 (2021). https://doi.org/10.1007/s41324-020-00377-z

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  • DOI: https://doi.org/10.1007/s41324-020-00377-z

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