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A Survey on Smart Hydroponics Farming: An Integration of IoT and AI-Based Efficient Alternative to Land Farming

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Intelligent Data Engineering and Analytics (FICTA 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 371))

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Abstract

Hydroponics-based farming is a sustainable, pesticide-free, and eco-friendly method to produce crops of higher quality and uses fewer resources than traditional methods. In hydroponics systems, temperature, humidity, and water are all important environmental factors that influence plant growth. The system automatically adds the necessary nutrient solution to the water while also collecting data on how much solution is needed based on the solution's electrical conductivity. It ensures that plants receive the nutrients they need to thrive. In hydroponics, artificial intelligence (AI) can be used to analyze environmental conditions and make changes, as well as to analyze plant growth rates and calculate an estimated harvesting time for the plants. AI in farming can detect plant disease and recommend ways to treat it. This paper discusses various techniques based on IoT, AI, and image processing that have been presented by researchers all over the world for the implementation of an automated hydroponics system, as well as subsequent discussions that can help improve this domain.

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Authors and Affiliations

  1. Department of Electronics Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, 440013, India

    Snehal V. Laddha, Snehal V. Laddha, Pratik P. Shastrakar & Sanskruti A. Zade

Authors
  1. Snehal V. Laddha
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  2. Pratik P. Shastrakar
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  3. Sanskruti A. Zade
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Corresponding author

Correspondence to Snehal V. Laddha .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Fiona Carroll

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    João Manuel R. S. Tavares

  4. Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Sandeep Singh Sengar

  5. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Peter Peer

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Laddha, S.V., Shastrakar, P.P., Zade, S.A. (2023). A Survey on Smart Hydroponics Farming: An Integration of IoT and AI-Based Efficient Alternative to Land Farming. In: Bhateja, V., Carroll, F., Tavares, J.M.R.S., Sengar, S.S., Peer, P. (eds) Intelligent Data Engineering and Analytics. FICTA 2023. Smart Innovation, Systems and Technologies, vol 371. Springer, Singapore. https://doi.org/10.1007/978-981-99-6706-3_11

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