Cotton Production and Demand Forecasting

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2022 10th International Conference on Orange Technology, ICOT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665454193
DOIs
StatePublished - 2022
Event10th International Conference on Orange Technology, ICOT 2022 - Virtual, Online, China
Duration: 10 Nov 202211 Nov 2022

Publication series

Name2022 10th International Conference on Orange Technology, ICOT 2022

Conference

Conference10th International Conference on Orange Technology, ICOT 2022
Country/TerritoryChina
CityVirtual, Online
Period10/11/2211/11/22

Keywords

  • Data analysis
  • demand and crop forecasting
  • visualization of data

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