Forecasting Nigeria annual yam production using Grey System Model
Demand for reliable and accurate annual crop production forecast has been on the increase in recent time, because it avails the famers and the government opportunity to plan ahead of time, with regard to import or export in the event of shortfall or surplus to ensure food security of the respective nation. A GM(1,1) system model that forecast the Nigeria annual yam production has been developed and tested on known data. The data used in the research were collected from the archive of Central Bank of Nigeria for a period of Nine years (2010-2018). The fitted result from the model showed 98:97% accuracy, this indicate that, the model is reliable and dependable. Therefore, results from the model could serve as a guide to the yam farmers and
the government to plan strategies for high yam production in the country.
Copyright (c) 2022 Lawal Adamu, Saidu Daudu Yakubu, Ndidiamaka Edith Didigwu, Abdullahi Abubakar, Isaac Adaji, Mohammed Yahaya
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, adaptation, and reproduction in any medium, provided that the original work is properly cited.