Int.J.Curr.Microbiol.App.Sci (2020) 9(7): 1923-1929 1923 Original Research Article https://doi.org/10.20546/ijcmas.2020.907.219 Forecasting of Ragi Production in Koraput Districts of Odisha, India Chinmayee Patra 1 * and Subrat Kumar Mahapatra 2 1 Department of Agricultural Statistics, PalliSikshaBhavan, Visva Bharati University, West Bengal, India 2 College of Agriculture, Orissa University of Agriculture and Technology, Odisha, India *Corresponding author ABSTRACT Introduction Eleusine coracana, or finger millet (Ragi) is an annual herbaceous plant widely grown as a cereal crop in the arid and semiarid areas in Asia. it's the foremost important small millet within the tropics covering 12% of the worldwide millet area. The specialty of those tiny ruby pearls is that the abundance of nutrients present in them. ragi may be a rich source of calcium, iron, protein, fiber, and other minerals and may be a gluten-free food. The cereal has low-fat content and contains mainly unsaturated fat. it's easy to digest and doesn't contain gluten; people that are sensitive to gluten can easily consume corakan. it's having high levels of methionine, an organic compound that's lacking within the diets of poor people that rely on starchy foods. it's considered jointly of the foremost nutritious cereals. Ragi could be a millet crop and their current use is restricted relative to their economic potential (Gruère et al., 2006). Minor millets are often termed “coarse cereals”. Furthermore, “minor” refers to the extent of research investment and commercial International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 7 (2020) Journal homepage: http://www.ijcmas.com Ragi is an important cereal crop in Koraput district of Odisha it is the richest source of Calcium, iron, and protein which makes it more important for health. This study aims the forecasting of Ragi production in Koraput district. Statistic data from 1985-86 to 2017-18 is used for forecasting purposes. For trend estimation, Auto-Regressive Integrated Moving Average (ARIMA) model was used. Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) were calculated for the knowledge. Appropriate Box-Jenkins ARIMA model was fitted. Validation of the model was tested by using Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE). ARIMA (0,1,1) model was used for forecasting of the subsequent 5 years' production. The result shows 52.75 tonnes of Ragi production in 2022. Keywords Ragi, Koraput, Auto-Regressive Integrated Moving Average model Accepted: 17 June 2020 Available Online: 10 July 2020 Article Info