2023, Vol. 8, Special Issue 5
Forecasting of honey bee population by ARIMAX model using weather variables
Author(s): Tokesh Sahu, Neelam Chouksey, Sandeep Kumar, Shiv Kumar Rana, Saurabh Kanauajia and Randhir Yadav
Abstract: Historical data has been considered for forecasting of honey bee population. For the purpose, autoregressive integrated moving average with explanatory variables has been applied along with all estimation procedures. There are ARIMAX technique employed for forecasting of honey bee population on time-based data of Surguja district of Chhattisgarh. Data of Weather variables viz. maximum temperature, minimum temperature rainfall and Precipitation is taken from meteorological observatory of Rajmohini Devi College of, Agriculture and Research Station Ambikapur, Chhattisgarh as input variables in ARIMAX model. Comparative study of the fitted models is carried out from the viewpoint of mean absolute percentage error (MAPE), root mean squared error (RMSE). After comparison resulted that ARIMAX (1, 1, 1) and ARIMAX (1, 1, 0) model provided a lower RMSE from other models for yield and production respectively.
Pages: 682-686 | Views: 302 | Downloads: 8Download Full Article: Click HereHow to cite this article:
Tokesh Sahu, Neelam Chouksey, Sandeep Kumar, Shiv Kumar Rana, Saurabh Kanauajia, Randhir Yadav. Forecasting of honey bee population by ARIMAX model using weather variables. Int J Stat Appl Math 2023;8(5S):682-686.