Machine learning challenges and opportunities in the African agricultural sector. A general perspective.

Published by:

FARM-D

Document

Download

Online Location

https://arxiv.org/pdf/2107.05101.pdf

Publication date

01/07/2021

Language:

English

Type of Publication:

Studies

Focus Region:

Sub-Saharan Africa

Middle East & North Africa

Focus Topic:

Information Technologies

Type of Risk:

Managerial & operational

Author

Racine Ly

Organization

Africa Agricultural Watch

The agricultural sector is vital for African economies; improving yields, mitigating losses, and effective management of natural resources are crucial in a climate change era. Machine Learning is a technology with an added value in making predictions, hence the potential to reduce uncertainties and risk across sectors, in this case, the agricultural sector. The purpose of this paper is to contextualize and discuss barriers to ML-based solutions for African agriculture.