IoT-Enhanced Vision for Hydroponic Farm Management

E. S. Selva Priya, Hariharan M., Elizabeth Ann Ninan, Durga Devi V.

2025

Abstract

Agriculture is very important for the economy of many developing countries, including India. However, traditional farming methods face challenges such as small farm sizes, overuse of pesticides, and inefficient use of resources. To address these issues, hydroponic farming offers a new way to grow crops in water with added nutrients, without the need for soil. The proposed IoT-enhanced vision system aims to improve plant growth by using real-time data and automation. This system continuously monitors important factors like nutrient levels, pH, humidity, and light levels, ensuring the best conditions for plant growth. By integrating IoT technology, the system allows for precise control over resources, leading to better efficiency, less waste, and increased crop production with our experiment dated day 1 to day 8 the total height of our plants was measured with the help of a scale where coriander is 1.2cm, amaranths is 4.1 cm and the height of the spinach is 3.2cm.

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Paper Citation


in Harvard Style

Priya E., M. H., Ninan E. and V. D. (2025). IoT-Enhanced Vision for Hydroponic Farm Management. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 282-293. DOI: 10.5220/0013927100004919


in Bibtex Style

@conference{icrdicct`2525,
author={E. Priya and Hariharan M. and Elizabeth Ninan and Durga V.},
title={IoT-Enhanced Vision for Hydroponic Farm Management},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={282-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013927100004919},
isbn={978-989-758-777-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - IoT-Enhanced Vision for Hydroponic Farm Management
SN - 978-989-758-777-1
AU - Priya E.
AU - M. H.
AU - Ninan E.
AU - V. D.
PY - 2025
SP - 282
EP - 293
DO - 10.5220/0013927100004919
PB - SciTePress