Implementation of an Automatic Irrigation System Using Embedded Fuzzy Logic
Abstract
Farming involves labour and time-consuming activities and requires the continuous observation of plants. Regardless of the weather condition, be it hot or cold, it is either too hot and cold or too dry and wet, it is very crucial to control the amount of water that reaches the plants. Hence, the need for an automatic irrigation system that will water plants when they need it. Using fuzzy logic, air humidity air temperature, and soil moisture were observed and monitored, forming the basis upon which watering of the plant was done and in what proportion. This paper implemented a framework that enabled fuzzy logic to control a pump's flow speed according to user-defined variables, using temperature and humidity sensors in the system. The fuzzy logic controller was designed using the Mamdani rule to control the speed of the irrigation motor. PROTEUS was used to simulate a fuzzy controller using the Mamdani model. Membership intervals for a linguistic variable were set and the system was experimented with by varying inputs. The results obtained showed that the proposed system was effective in irrigating agriculture fields using the output provided by controlling the inputs (temperature, soil moisture and humidity).
Full Text:
PDFReferences
Abdullah, N., Durani, N. A. B., Shari, M. F. B., Siong, K. S., Hau, V. K. W., Siong, W. N., and Ahmad, I. K. A. (2020). Towards smart agriculture monitoring using fuzzy systems. IEEE Access, 9, 4097-4111.
Adelodun, B., and Choi, K. S. (2018). A review of the evaluation of irrigation practice in Nigeria: Past, present and future prospects. African Journal of Agricultural Research, 13(40), 2087-2097.
Agrawal, N., and Singhal, S. (2015). Smart drip irrigation system using raspberry pi and arduino. In International Conference on Computing, Communication & Automation pp. 928-932.
Dharrao, D., Kolape, L., Pawar, S., and Patange, A. (2015). Automated irrigation system using WSN. Asian Journal of Engineering and Technology Innovation, 3(6), 18-21.
Ejofodomi O.A., Ofualagba G., Ighrakpata, U., Chouikha, M. (2018) Automation of irrigation systems and design of automated irrigation systems, International Journal Water Resources Management and Irrigation Engineering Research, 2(1) pp.11-27.
Jaichandran, R., Irudhayaraj, A. A., Surabhi, R. K., and Sinha, T. (2013). Prototype for automatic controlling and remote accessing of irrigation motor. International Journal of Innovative Research in Computer and Communication Engineering, 1(4), 800-807.
Jain, R., Kulkarni, S., Shaikh, A., and Sood, A. (2016). Automatic irrigation system for agriculture field using wireless sensor network (WSN). International Research Journal of Engineering and Technology (IRJET), 3(04), 1602-1605.
Khan, F., Shabbir, F., and Tahir, Z. (2014). A fuzzy approach for water security in irrigation system using wireless sensor network. Science International, 26(3).
Reshma, S., and Babu, B. S. M. (2016). Internet of things Based Automatic Irrigation System using Wireless Sensor Networks. International Journal and Magazine of Engineering, Technology, Management and Research, 3.
Sudha, M. N., Valarmathi, M. L., and Babu, A. S. (2011). Energy efficient data transmission in automatic irrigation system using wireless sensor networks. Computers and Electronics in Agriculture, 78(2), 215-221.
Touati, F., Al-Hitmi, M., and Benhmed, K. (2012). A fuzzy logic-based irrigation management system in arid regions applied to the state of Qatar. WIT Trans Ecol Environ, 168, 189-199.