Cotton Production and Demand Forecasting

  • Gul, Malik Urfa; 
  • Paul, Anand; 
  • John Pratheep, K.; 
  • Jeon, Gwanggil
Citations

SCOPUS

4

초록

The primary goal of this study is visualizing the tabular data compound growth and forecast area, product demand forecast(from Pakistan and Globally), output and average yield in Punjab, Pakistan. Cotton output in Pakistan's Punjab province and worldwide. Data obtained from government reports from 1990 to 2017 were scrutinized for this purpose. In Pakistan, empirical data showed that area under cultivation grew at a negative compound rate, but production and average yield grew at a positive compound rate. In Punjab, however, the compound growth rate of cotton planting and output was negative, although the average yield increased. Cotton forecasting revealed that acreage, output, and average yield will all increase in Pakistan by 2025. Cotton crop area in Punjab will expand by 2025, but cotton output and average yield will continue to fall. We used power Bi to visualize these outputs. Our results show there has been a significant shift in cotton mill activity towards Asia in recent decades, in particular the People's Republic of China. The OECD/FAO agricultural outlook for this year assumes a slight upward trend for mill consumption in China since 2016. With support for the cotton industry in India, another major cotton consumer, cotton mill usage is expected to grow continuously. © 2022 IEEE.

키워드

Data analysis; demand and crop forecasting; visualization of data
제목
Cotton Production and Demand Forecasting
저자
Gul, Malik Urfa; Paul, Anand; John Pratheep, K.; Jeon, Gwanggil
DOI
10.1109/ICOT56925.2022.10008177
발행일
2022
유형
Conference paper