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Table 1.

The regions in Ghana and major districts where there is maize production.

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Table 1 Expand

Table 2.

The agro-ecological zones and their maize cultivation calendar in Ghana.

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Table 2 Expand

Fig 1.

The model framework of stacking ensemble learning model.

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Fig 1 Expand

Table 3.

Descriptive statistics of the maize yield for each of the regions in Ghana.

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Table 3 Expand

Table 4.

Mean and coefficient of variation analysis of the climate variables.

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Table 4 Expand

Fig 2.

Trend of maize yield in each of the regions of Ghana.

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Fig 2 Expand

Fig 3.

Combined impact of average temperature and precipitation on maize yield in the different regions of Ghana.

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Fig 3 Expand

Table 5.

The results of the optimal parameters for each base model after performing Grid Search.

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Table 5 Expand

Table 6.

Performance metric of machine learning models.

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Table 6 Expand

Fig 4.

The feature importance of the climate variables in predicting maize yield in each region of Ghana.

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Fig 4 Expand