Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques
B. Sridhar1, K. Lalitha Divya Sindhu2, N. Ragasudha3, M. Mounika4, K. Premnath Chakri5
1B. Sridhar*, Professor ECE department, LIET, Vizianagaram, India.
2K. Lalitha Divya Sindhu, Final year UG Students, ECE department LIET Vizianagaram, India.
3N. Ragasudha, Final year UG Students, ECE department LIET Vizianagaram, India.
4M. Mounika, Final year UG Students, ECE department LIET Vizianagaram, India.
5K. Premnath Chakri, Final year UG Students, ECE department LIET Vizianagaram, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 31-39 | Volume-10 Issue-1, July 2020. | Retrieval Number: F3402039620/2020©BEIESP | DOI: 10.35940/ijsce.F3402.0710120
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In India, agriculture plays an important role in national development. Agricultural problems have always hindered the country’s development. The only solution to this is smart farming by modernizing traditional farming methods today. The Internet of Things (IOT) allows a variety of applications such as monitoring and selecting crop development, supporting irrigation decisions, etc. The result of this work is the monitoring of soil moisture, temperature, humidity, pH, reproduction and water level . Field Using a sensor network that collects data from different types of sensors and then sends it to the main server using Raspberry pi, it uses vague logic in real time to make decisions based on the decisions made by the system.
Keywords: IOT, agricultural system, Fuzzy logic, Raspberry pi, Sensor nodes.