... feature engineering and time-aware evaluation using the WFP Nigeria dataset. Design/methodology/approach The study uses 60,566 observations across Nigerian commodity markets (2002–2025). Linear Regression, Random Forest, ARIMA, and LSTM models were evaluated using lag and rolling-average temporal...

... of fresh vegetables along multiple channels enables marginal and small-scale farmers to maximize their revenue by proportionately allocating the produce considering their short shelf life. Design/methodology/approach Machine learning models, namely long short-term memory (LSTM), convolution neural...