English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Estimation and forecasting of crop production are crucial in supporting policy decisions regarding food security and development issues. The present study examines the current status of sorghum production in South Africa. Univariate time series modelling using ARIMA model was developed for forecasting sorghum production. Box and Jenkins linear time series model, which involves autoregression, moving average, and integration, also known as ARIMA (p, d, q) model was applied. The annual production series of sorghum from 1960 to 2014 exhibited a decreasing trend while prediction of sorghum production between 2017 and 2020 showed an increasing trend. The study has shown that the best-fitted model for sorghum production series is ARMA (1, 0, 4). The model revealed a good performance in terms of explaining variability and forecasting power. This study has also shown that sorghum could contribute to the household and national food security because of its drought-tolerant properties.

EFFICIENT PLANNING OF SORGHUM PRODUCTION IN SOUTH AFRICA – APPLICATION OF THE BOX-JENKIN’S METHOD