학술논문

Predictive Modelling for Coffee Production Using R Programming
Document Type
Conference
Source
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Communication, Computing and Industry 4.0 (C2I4), 2022 3rd International Conference on. :1-6 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Industries
Computational modeling
Time series analysis
Production
Predictive models
Programming
Data models
Forecasting
ARIMA
ACF
AR model
Annual production
Language
Abstract
The states of South India produce the most coffee, with Karnataka accounting for 71%, Kerala for 21%, and Tamil Nadu for 5% of the total production of 8,200 tones. There are approximately 250,000 coffee farmers working across the country, furthermore 98 % consists of tiny coffee producers. The time series model of Auto Regressive Integrated Moving Average (ARIMA) was applied in this research to study the future production. Time series data on India's coffee industry was collected and analyzed from 1990 to 2018. According to the findings, future Arabica output is expected to increase somewhat, while Robusta production is expected to decrease slightly from 2021 onwards.