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Smart-Hydroponic-Based Framework for Saffron Cultivation: A Precision Smart Agriculture Perspective

Author

Listed:
  • Kanwalpreet Kour

    (Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura 140401, India)

  • Deepali Gupta

    (Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura 140401, India)

  • Kamali Gupta

    (Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura 140401, India)

  • Gaurav Dhiman

    (Department of Computer Science, Government Bikram College of Commerce, Patiala 147001, India)

  • Sapna Juneja

    (KIET Group of Institutions, Delhi NCR Campus, Ghaziabad 201206, India)

  • Wattana Viriyasitavat

    (Department of Statistics, Chulalongkorn University, Bangkok 10330, Thailand)

  • Hamidreza Mohafez

    (Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Mohammad Aminul Islam

    (Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

Saffron, one of the most expensive crops on earth, having a vast domain of applications, has the potential to boost the economy of India. The cultivation of saffron has been immensely affected in the past few years due to the changing climate. Despite the use of different artificial methods for cultivation, hydroponic approaches using the IoT prove to give the best results. The presented study consists of potential artificial approaches used for cultivation and the selection of hydroponics as the best approach out of these based on different parameters. This paper also provides a comparative analysis of six present hydroponic approaches. The research work on different factors of saffron, such as the parameters responsible for growth, reasons for the decline in growth, and different agronomical variables, has been shown graphically. A smart hydroponic system for saffron cultivation has been proposed using the NFT (nutrient film technique) and renewable sources of energy.

Suggested Citation

  • Kanwalpreet Kour & Deepali Gupta & Kamali Gupta & Gaurav Dhiman & Sapna Juneja & Wattana Viriyasitavat & Hamidreza Mohafez & Mohammad Aminul Islam, 2022. "Smart-Hydroponic-Based Framework for Saffron Cultivation: A Precision Smart Agriculture Perspective," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1120-:d:728271
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    Citations

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    Cited by:

    1. Mudita Uppal & Deepali Gupta & Sapna Juneja & Adel Sulaiman & Khairan Rajab & Adel Rajab & M. A. Elmagzoub & Asadullah Shaikh, 2022. "Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    2. Luca Preite & Federico Solari & Giuseppe Vignali, 2023. "Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review," Sustainability, MDPI, vol. 15(7), pages 1-28, March.

    More about this item

    Keywords

    IoT; saffron; NFT; hydroponics; WSN;
    All these keywords.

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