| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01147 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101147 | |
| Published online | 05 June 2023 | |
Soil Moisture Predictive Analysis using IoT and Machine Learning
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India
2 UG Student, Department of CSBS, GRIET, Hyderabad, Telangana, India
* Corresponding author: sanjeeva1690@grietcollege.com
The Internet of Things has been immensely popular these days, and so is the functionality and efficiency it provides. It is especially useful in areas where Human intervention and monitoring is not necessary or even absent. With that said, it can be understood that Farming without Human interference can be a hectic task, and thus needs strict and thorough planning and implementation before any system or product is actually in use. The thesis aims to examine and contribute to the efficient usage of several IoT Sensors for the betterment of Farming & Agriculture. The proposed IoT System utilizes Soil Moisture detection sensor, to find the moisture levels in soil, and hence applying various other use cases to the system. The project aims to use ESP-32 Dev Module and other soil moisture detection features to investigate and find an effective solution towards the future of Farming.
© The Authors, published by EDP Sciences, 2023
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