Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30309
Intelligent System and Renewable Energy: A Farming Platform in Precision Agriculture

Authors: Ryan B. Escorial, Elmer A. Maravillas, Chris Jordan G. Aliac

Abstract:

This study presents a small-scale water pumping system utilizing a fuzzy logic inference system attached to a renewable energy source. The fuzzy logic controller was designed and simulated in MATLAB fuzzy logic toolbox to examine the properties and characteristics of the input and output variables. The result of the simulation was implemented in a microcontroller, together with sensors, modules, and photovoltaic cells. The study used a grand rapid variety of lettuce, organic substrates, and foliar for observation of the capability of the device to irrigate crops. Two plant boxes intended for manual and automated irrigation were prepared with each box having 48 heads of lettuce. The observation of the system took 22-31 days, which is one harvest period of the crop. Results showed a 22.55% increase in agricultural productivity compared to manual irrigation. Aside from reducing human effort, and time, the smart irrigation system could help lessen some of the shortcomings of manual irrigations. It could facilitate the economical utilization of water, reducing consumption by 25%. The use of renewable energy could also help farmers reduce the cost of production by minimizing the use of diesel and gasoline.

Keywords: Renewable Energy, Intelligent System, Precision Agriculture, Fuzzy Logic Controller

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3607888

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 206

References:


[1] (Online). Available: https://pinas.dlsu.edu.ph/gov/agriculture.html
[2] Advameg, "Philippines - Agriculture," (Online). Available: http://www.nationsencyclopedia.com/economies/Asia-and-the-Pacific/Philippines-AGRICULTURE.html.
[3] J. Gutierrez, J. F. Villa-Medina, A. Nieto-Garibay, and M. A. Porta-Gandara, “Automated irrigation system using a wireless sensor network and GPRS module,” IEEE Trans. Instrum. Meas., vol. 63, no. 1, pp. 166–176, 2014.
[4] A. Kaluse, A. Kadam, V. Patil, and S. Dhage, “Automated Drip Irrigation System,” vol. 4, no. 5, pp. 45–48, 2017.
[5] C. Kumar Sahu and P. Behera, “A low cost smart irrigation control system,” 2nd Int. Conf. Electron. Commun. Syst. ICECS 2015, no. February 2015, pp. 1146–1151, 2015.
[6] V. Khatri, “Application of Fuzzy logic in water irrigation system,” pp. 3372–3375, 2018.
[7] T. A. Izzuddin, M. A. Johari, M. Z. A. Rashid, and M. H. Jali, “Smart irrigation using fuzzy logic method,” ARPN J. Eng. Appl. Sci., vol. 13, no. 2, pp. 517–522, 2018.
[8] P. Development and P. Pdp, “It’s More Sun in the Philippines: Facts and Figures on Solar Energy in the Philippines,” pp. 1–20, 2013.
[9] N. I. A. -. R. 4A, "National Irrigation Administration," (Online). Available: http://region4a.nia.gov.ph/?q=node/100.
[10] (Online). Available: https://veggieharvest.com/vegetables/lettuce.html.
[11] D. C. Jose, “Divina C. Jose Agriculturist II BPI-National Crop Research and Development Center.”
[12] P. S. A. (PSA), “Crop Statistics of the Philippines November 2017,” vol. 2015, no. November, pp. 2011–2015, 2017.
[13] (Online). Available: https://home.howstuffworks.com/irrigation3.htm.
[14] (Online). Available: https://www.circuito.io/app?components=512,11021.
[15] (Online). Available: http://www.electronicwings.com/sensors-modules/soil-moisture-sensor.
[16] (Online).Available:https://www.circuito.io/app?components=512,10167,11021