A Sustainable Smart Irrigation and Crop Protection System for Bangladesh
Bangladesh's most crucial sector for development is agriculture. Rainfall has been irregular in recent years due to climate change. In our country, the untimely rain and hailstorms harm crops and vegetables, especially winter vegetables. Surface water is mainly used for agriculture, but its availability constantly declines. Our current key challenge is to save surface water while protecting crops from rain and hail. IoT is cutting-edge technology in many applications, such as smart homes, smart cities, and intelligent traffic management. The IoT may be implemented in so many different industries and sectors. This research work is about smart irrigation with crop protection systems in agriculture. The system's primary parts are the sensors, water pump, servo motors, embedded systems, and internet connectivity. IoT sensors like soil moisture sensors and rain sensors are used in the suggested methodology. The fields of crops have received water from a pump. A motor has covered the crops. The proposed solution is a straightforward Internet of Things setup that sends data to the Arduino after detecting rainfall and soil moisture levels. Depending on the sensor data, the Arduino sends signals to the motor and pump to irrigate the crops and cover crops as necessary, revealing the crops after rain. The system is constructed economically using bamboo, and poly and plastic nets have been utilized to protect the crops from rain and fog. The system's primary effects are increased productivity, decreased crop damage rate, and saved surface water.
Authors
- Abdullah Al Noman (ORCID: https://orcid.org/0000-0002-5799-1293)
- Khandakar Rabbi Ahmed (ORCID: https://orcid.org/0000-0003-0235-2870)
- Israt Jahan (ORCID: https://orcid.org/0000-0002-7988-1386)
- Towfika Salam
- Shafiun Miraz
- Aminul Hoque
Institutions
- Rajshahi University of Engineering and Technology (BD)
- Asian University of Bangladesh (BD)
- International University of Business Agriculture and Technology (BD)
- Jahangirnagar University (BD)
Publication Details
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/csitss64042.2024.10816766
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00