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Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19
From the food crop production side, the travel bans and border closures, the late reception and the use of agricultural inputs such as imported seeds, fertilizers, and pesticides could lead to poor food crop production performances.
Machine Learning Challenges and Opportunities in the African Agricultural Sector -- A General Perspective
The purpose of this paper is to contextualize and discuss barriers to ML-based solutions for African agriculture.
Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks
For oil, the forecast averaging does not provide improvements in terms of RMSE.
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