Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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IoT-Based AI Controller and Mobile App for Solar-Smart Hydroponics

Authors
Pallavi Khare1, *, Navdeep Khare2
1ECE Dept., Matrusri Engineering College, Hyderabad, India
2ECE Dept., Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India
*Corresponding author. Email: pallavikhare@matrusri.edu.in
Corresponding Author
Pallavi Khare
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_77How to use a DOI?
Keywords
Smart Hydroponics; AI-Based Controlling; Deep learning; Nutrient Level Prediction; Plant Diseases
Abstract

Hydroponic agriculture utilises far less water and other resources than soil-based production. Due to the many variables, plant nutrients, and diagnostic methods, hydroponics cultivation is tough to monitor. Recent technical advances have helped find answers by enabling the use of AI-based control algorithms in agriculture. This project aims to create a smartphone app that talks with an AI-based intelligent hydroponics system. The IoT-enabled intelligent hydroponic system has three phases. The hardware environment includes real-time sensors for NPK soil, sunshine, turbidity, pH, temperature, water level, and a camera module in the first stage. A Deep Learning model will predict nutrient concentrations and categorise plant illnesses in the second phase. An Android-based Internet of Things smartphone software lets farmers track sensor data and leaf diseases in the final phase. The farmer may also monitor his land using the software. This system also automates hydroponics maintenance to enhance production.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
978-94-6463-252-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_77How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Pallavi Khare
AU  - Navdeep Khare
PY  - 2023
DA  - 2023/11/09
TI  - IoT-Based AI Controller and Mobile App for Solar-Smart Hydroponics
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 771
EP  - 779
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_77
DO  - 10.2991/978-94-6463-252-1_77
ID  - Khare2023
ER  -