COVID-19 risks rolling back many of the efforts and global successes recorded in reducing poverty and food insecurity.
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This paper applies a recurrent neural network (RNN) method to forecast cotton and oil prices. We show how these new tools from machine learning, particularly Long-Short Term Memory (LSTM) models, complement traditional methods.
discussion paper
Effects of public expenditures on agriculture at subnational levels on households’ welfare and economic resilience in Nigeria
Agricultural development has long been considered an important driver of overall economic development in developing countries such as Nigeria.