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Controlling Agronomic Variables of Saffron Crop Using IoT for Sustainable Agriculture

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)

  • Sapna Juneja

    (Department of Computer Science, KIET Group of Institutions, Delhi NCR, Ghaziabad 201206, India)

  • Manjit Kaur

    (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea)

  • Amal H. Alharbi

    (Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

  • Heung-No Lee

    (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea)

Abstract

Saffron, also known as “the golden spice”, is one of the most expensive crops in the world. The expensiveness of saffron comes from its rarity, the tedious harvesting process, and its nutritional and medicinal value. Different countries of the world are making great economic growth due to saffron export. In India, it is cultivated mostly in regions of Kashmir owing to its climate and soil composition. The economic value generated by saffron export can be increased manyfold by studying the agronomical factors of saffron and developing a model for artificial cultivation of saffron in any season and anywhere by monitoring and controlling the conditions of its growth. This paper presents a detailed study of all the agronomical variables of saffron that have a direct or indirect impact on its growth. It was found that, out of all the agronomical variables, the important ones having an impact on growth include corm size, temperature, water availability, and minerals. It was also observed that the use of IoT for the sustainable cultivation of saffron in smart cities has been discussed only by very few research papers. An IoT-based framework has also been proposed, which can be used for controlling and monitoring all the important growth parameters of saffron for its cultivation.

Suggested Citation

  • Kanwalpreet Kour & Deepali Gupta & Kamali Gupta & Sapna Juneja & Manjit Kaur & Amal H. Alharbi & Heung-No Lee, 2022. "Controlling Agronomic Variables of Saffron Crop Using IoT for Sustainable Agriculture," Sustainability, MDPI, vol. 14(9), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5607-:d:809876
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    References listed on IDEAS

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    1. Annu Dhankhar & Sapna Juneja & Abhinav Juneja & Vikram Bali, 2021. "Kernel Parameter Tuning to Tweak the Performance of Classifiers for Identification of Heart Diseases," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 12(4), pages 1-16, July.
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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. Monica Dutta & Deepali Gupta & Yasir Javed & Khalid Mohiuddin & Sapna Juneja & Zafar Iqbal Khan & Ali Nauman, 2023. "Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    3. Kanwalpreet Kour & Deepali Gupta & Junaid Rashid & Kamali Gupta & Jungeun Kim & Keejun Han & Khalid Mohiuddin, 2023. "Smart Framework for Quality Check and Determination of Adulterants in Saffron Using Sensors and AquaCrop," Agriculture, MDPI, vol. 13(4), pages 1-21, March.

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