Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination / Stephen Gbenga Fashoto … [et al.]

Predicting maize crop yields especially in maize production is paramount in order to alleviate poverty and contribute towards food security. Many regions experience food shortage especially in Africa because of uncertain climatic changes, poor irrigation facilities, reduction in soil fertility and t...

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Bibliographic Details
Main Authors: Fashoto, Stephen Gbenga, Mbunge, Elliot, Ogunleye, Gabriel, den Burg, Johan Van
Format: Article
Language:English
Published: Universiti Teknologi MARA 2021
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/47823/1/47823.pdf
http://ir.uitm.edu.my/id/eprint/47823/
https://mjoc.uitm.edu.my
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