Open AccessForecasting rice production in Jigawa State, Nigeria using fuzzy inference system
Author(s) -
Ali Maianguwa Shuaibu,
Maryam Nuraini Muhammad,
Yusuf Abu-Safyan
Publication year - 2022
Publication title -
dutse journal of pure and applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2635-3490
pISSN - 2476-8316
DOI - 10.4314/dujopas.v7i4b.21
Subject(s) - matlab , production (economics) , fuzzy inference , inference , membership function , function (biology) , fuzzy logic , computer science , fuzzy inference system , state (computer science) , production system (computer science) , mathematics , fuzzy control system , adaptive neuro fuzzy inference system , algorithm , artificial intelligence , economics , evolutionary biology , biology , macroeconomics , operating system
In this work, we used fuzzy inference system to forecast rice production covering the period 2021-2030 in Jigawa state, Nigeria. This is done by designing a fuzzy inference system using MATLAB. The system consists of two input functions and a single output function. Each function has its membership functions from which 49 inference rules of the system were formed. Three variables were considered in the course of this research. The variables are rainfall, land and rice production. Furthermore, linguistic variables were defined on each input. A rule based system was then formed which is defuzzified and a crisp value is obtained as the forecasted value. The result of this research shows that in 2022, 177950ha is required with 873mm of rainfall to produce 1070000TN of rice. Similarly, prediction is made of the required area, rainfall and rice yield up to 2030 in Jigawa state.