Artificial Intelligence in Agricultural Yield Prediction

Dr. Blessing C. Okogbue, Engr. Digitemie E. I.

ASUPFPE Journal of Multidisciplinary Research and Innovation (AJMRI)
Vol. 1, Issue 1 (2023) | ISSN: 2992-5762
Keywords: AI Agriculture Machine Learning Bayelsa

Abstract

This study explores machine learning models for predicting crop yields in Bayelsa State using satellite and soil data.

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How to Cite This Article

APA 7th Edition
Dr. Blessing C. Okogbue, Engr. Digitemie E. I. (2023). Artificial Intelligence in Agricultural Yield Prediction. ASUPFPE Journal of Multidisciplinary Research and Innovation (AJMRI), 1(1), [Page range]. ISSN: 2992-5762
MLA 9th Edition
"Artificial Intelligence in Agricultural Yield Prediction." ASUPFPE Journal of Multidisciplinary Research and Innovation (AJMRI), vol. 1, no. 1, 2023, pp. [Page range]. ISSN: 2992-5762
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