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A Review on Role of Solar Drying Technology in Sustainable Development

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Intelligent Computing Applications for Sustainable Real-World Systems (ICSISCET 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 13))

Abstract

Sustainable development is basically a progress in such a manner that the present condition becomes better but not on the compromise of future generation ability to fulfill their needs. Due to growth in population, some people are still facing the problem in fulfilling their basic needs which are food, water, shelter etc. The need of food is tried to meet by utilizing solar energy via solar dryers. Solar dryer reduces the post-harvest losses and increases the storage time. Solar drying is now not limited to agricultural production and drying but it is also used in some other sectors like textile, rubber, dairy, sludge drying etc. The paper presents how the solar dryers are contributing in sustainable development.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India

    Pushpendra Singh & M. K. Gaur

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  1. Pushpendra Singh
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  2. M. K. Gaur
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Correspondence to Pushpendra Singh .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Laxmi Srivastava

  3. Mechanical Engineering Dept, A-2 Quarter, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

  4. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

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Singh, P., Gaur, M.K. (2020). A Review on Role of Solar Drying Technology in Sustainable Development. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_3

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