Development of IoT-based Scale Sensor to Measure AWD System Water Level in Crop Field
The paper introduces an innovative Internet of Things (IoT)-based scale sensor that measures the water level in the alternate wetting and drying (AWD) system and displays data in the mobile app to enable remote monitoring. The AWD system mainly consists of 30 cm of PVC pipe or bamboo with a diameter of 10-15 cm inserted into the paddy field, with a lower 20 cm buried in the soil and tiny holes at the bottom to allow field water to enter. The water level within the pipe indicates the field's water level, especially the underground water level. The AWD method optimizes water usage and reduces methane emissions by watering periodically and drying rice fields instead of maintaining continuous flooding. The current manual measurement process for water level needs to go to crop fields daily with a scale, which is difficult for continuous and remote monitoring. The developed scale sensor has IoT connectivity that removes the difficulties. The scale sensor works based on conductive rain sensors to precisely detect each centimeter rise or fall of water. The sensor consists of two open conductive layers that create a short circuit when the water level touches them by raising, triggering the microcontroller to register a voltage drop. The scale can measure up to 20 cm as it has 20 conductive layers, which fulfill the requirements. It has a 1 cm resolution, and in the test, it shows 95-99% accuracy. So, the sensor can effectively measure the water level in the AWD system, and further research is required to add an automatic irrigation system with the sensor so that the whole process can be controlled remotely.
Authors
- Khalid Mahmud Niloy
- Sumaiya Afrose
- Md Imon Hossen
- Md Shahriar Kabir
- Md. Ismail Hossain Mofazzol
Institutions
- American International University-Bangladesh (BD)
- Uttara University (BD)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/raaicon64172.2024.10928536
- Primary Topic
- Food Supply Chain Traceability
- Type
- article
- Field-Weighted Citation Impact
- 0.00