| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01152 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101152 | |
| Published online | 05 June 2023 | |
Quantifying the Impact of Soil Moisture Sensor Technology on Crop Productivity in Smart Gardening Systems
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India
2 UG Student, Department of AIMLE, GRIET, Hyderabad, Telangana, India
* Corresponding author: mamidi.kirankumar09@gmail.com
Water is a valuable resource, but not all communities can afford to use it liberally. It is now crucial to use the water that is available as effectively as possible, particularly in agriculture. An unattended ground moisture sensor can be used to monitor the present moisture level in the soil surrounding the plants in order to decrease overwatering of crops. So, a farmer will be able to decide when to water and when to stop. The user should receive the moisture data information wirelessly for convenience. It is detailed how to develop a wireless communication and user interface system for an unattended ground moisture sensor. The Wheat stone bridge for determining il is followed by a differential amplifier in the resistance of the sensor design. Transforming the resistance that was measured into a voltage. This is carried out because resistance and moisture are correlated. A Lora communication transmitting node sends this voltage together with a Lora communication receiving node, where a microcontroller interprets it as moisture data. The receiving node then transmits the data to a PC host so the user can access it. a power circuit that uses a linear regulator and a battery.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.