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[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal E-ISSN 3048-6408 Since 2024
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Original Article

IOT Based Automated Hydroponics System Using Machine Learning

  • Paper ID 30
  • Volume 2, Issue 2
  • Pages: 11-16
  • Published Online: May-August 2025
  • 330 Views
Open Access Peer Reviewed

Authors

  • Ramya K1
  • Mahesh B S2
  • Shreshta H J3
  • Lohith kumar M R4
  • Banu Kumar A5

1 2 3 4 5 Department of Electronics and Communication, BGS institute of Technology, Bengaluru, Karnataka, India.

Article Information

DOI
No Doi
Published Online
May-August 2025
Pages
11-16
Article Type
Original Article
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Abstract

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Over the years, traditional farming methods relying on soil-based cultivation have proven to be time-consuming, susceptible to diseases, and economically burdensome. In response, hydroponics systems have emerged as a revolutionary alternative, enabling plant growth without soil, particularly beneficial in spatially constrained or environmentally challenging regions. Our previously implemented IoT-based Automated Hydroponics System has already demonstrated remarkable advancements, utilizing inert media for plant growth, thereby circumventing the limitations of natural soil. This system not only minimizes environmental impact and maintains crop quality, but also facilitates precise nutrient control through a nutrient solution.

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  • ISSN 3048-6408
  • Open Access
  • Peer Reviewed
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