Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Modelling Annual Cocoa Production Using ARIMA Time Series Model

Domain:

agriculture

Record type:

paper
Creator:
OniOniAkaOGU
Publisher:
Afr
Host:
Cocoa is the most valuable tropical agricultural commodity, comes next to oil; a major target in Nigeria’s export diversification strategies. Cocoa production forecasting is important to the Nigerian agricultural transformation agenda. This study attempts to forecast Nigerian cocoa production between 2019 and 2025 using the ARIMA model. The automated analytical procedure implemented in the R software package indicated that ARIMA (0, 1, 1) is the combination with the least Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC) and hence, the most appropriate for forecasting. The results revealed that cocoa production would fall by more than 20% in 2025 in comparison with 2018. Thus, to guard against the fall, cocoa farmers in the country should be incentivized through adequate financial and technical assistance.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by-nc-nd/4.0/

Similar

Malaria Disease Distribution in Sudan Using Time Series ARIMA ModelForecasting Wheat Production in Libya Using ARIMA Model-ARIMAUSING A DYNAMIC TIME SERIES MODEL (ARIMA) FOR FORECASTING OF EGYPTIAN COTTON CROP VARIABLESRainfall Forecasting for Odeda, South-Western Nigeria using a Seasonal ARIMA Time-Series ModelTime Series Analysis for The Treatment of Typhoid (Enteric) Fever in Maiduguri: Using Arima Modelawojidetola/Time-Series-Forecasting-with-Arima

Malaria Disease Distribution in Sudan Using Time Series ARIMA Model

Malaria is widely spread and distributed in the tropical and subtropical regions of the wor

Forecasting Wheat Production in Libya Using ARIMA Model-ARIMA

The wheat crop is a strategic crop in Libya as a food crop and a raw material for some food industri

USING A DYNAMIC TIME SERIES MODEL (ARIMA) FOR FORECASTING OF EGYPTIAN COTTON CROP VARIABLES

The Egyptian cotton crop is considered one of the important strategic crops, as it is one of the mai

Rainfall Forecasting for Odeda, South-Western Nigeria using a Seasonal ARIMA Time-Series Model

Rainfall occurrence within Odeda in Southwestern Nigeria. For this purpose, rainfall records spannin

Time Series Analysis for The Treatment of Typhoid (Enteric) Fever in Maiduguri: Using Arima Model

This research employs the ARIMA model to conduct a thorough time series analysis on the treatment of

awojidetola/Time-Series-Forecasting-with-Arima

This project uses ARIMA models to analyze forecast the fertility rate in Nigeria # Time-Series-Fore