Forecasting agricultural commodity price using different models: a case study of widely consumed grains in Nigeria
Accurate forecasting techniques for specific agricultural commodities in sub-Saharan African countries. Forecasting prices of commonly consumed grains and legumes in Nigeria and traded worldwide, such as imported rice, local rice, beans, and maize.
| Рубрика | Сельское, лесное хозяйство и землепользование |
| Предмет | Agricultural Sciences |
| Вид | статья |
| Язык | английский |
| Прислал(а) | Olajide I. Sanusi, Samir K. Safi |
| Дата добавления | 28.05.2023 |
| Размер файла | 559,5 K |
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