An AI Based Web Portal for Cotton Price Analysis and Prediction

DOI

10.2991/ahis.k.210913.005How to use a DOI?

Keywords

Artificial Intelligence, Agriculture, ARIMA Model, Cotton Price Analysis, Integration, Multiple Regression, SARIMA

Abstract

Artificial Intelligence based Web portal is extensively used in worldwide because it used to solve various primary low level problems in agriculture such as predicting precise prices of agriculture product using machine learning algorithms, enabling direct connection between buyer and seller without any middlemen, decreasing wastage of post-harvest crop, fixing appropriate price margin for farmers and so on. These steps helps to increase the capital income and creates the beneficial changes in the agriculture and also it leads to take the agriculture to next level. Cotton is a crop that is possibly the most expensive including all agricultural products sold. Owing to the high uncertainty of cotton markets, it is incredibly difficult to forecast future demand patterns and develop an acceptable pricing plan in order to compete in the market and maximize the company’s volume for long-term development. Keeping in mind all the factors stated above for the cultivation of cotton, conclusion can be inferred as the cotton is highly volatile in nature. In this paper, we tend to build an Artificial Intelligence based Web Portal which provides data analysis of price of past years and also gives predictions about the cotton prices to the fellow traders. The paper aims to create a web model for cotton price prediction. Furthermore, the study tries to run a multiple regression model based on different variables to estimate the price of cotton.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mohammed Bohara
AU  - Krishna Patel
AU  - Bansari Patel
AU  - Jesal Desai
PY  - 2021
DA  - 2021/09/13
TI  - An AI Based Web Portal for Cotton Price Analysis and Prediction
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 33
EP  - 39
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.005
DO  - 10.2991/ahis.k.210913.005
ID  - Bohara2021
ER  -