"Smart agriculture: a climate-driven approach to modelling and forecasting fall armyworm populations in maize using machine learning algorithms".

The autoregressive parameter β 1 , however, was highly significant (estimate = 0.76248, SE = 0.0988, Z = 7.7178, p = 0.0001), suggesting that current FAW populations were strongly dependent on their previous values, highlighting the importance of temporal autocorrelation in FAW population dynamics.

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