气候变化领域集成服务门户(CCPortal): Prediction of Agricultural Commodity Prices using Big Data Framework

CCPortal

DOI	10.48084/etasr.6468
	Prediction of Agricultural Commodity Prices using Big Data Framework
	Rana, Humaira; Farooq, Muhammad Umer; Kazi, Abdul Karim; Baig, Mirza Adnan; Akhtar, Muhammad Ali
发表日期	2024
ISSN	2241-4487
EISSN	1792-8036
起始页码	14
结束页码	1
卷号	14 期号:1
英文摘要	The agriculture sector plays a crucial role in the economy of Pakistan, contributing significantly to the Gross Domestic Product (GDP) and the employment rate. However, this sector faces challenges such as climate change, water scarcity, and low productivity, which have a direct impact on agricultural commodity prices. Accurate forecasting of commodity prices is essential for farmers, traders, and policymakers to make informed decisions and improve economic outcomes. This paper explores the use of a big data framework for agricultural commodity price forecasting in Pakistan, using a historical dataset on commodity prices in various Pakistani cities from 2007 to 2022 and Apache Spark to preprocess and clean the data. Based on historical spinach prices in Vehari City, the machine learning models AutoRegressive Moving Average (ARIMA), Random Forest, and Long -Short -Term Memory (LSTM) were applied to price trends, and their performance was compared using Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and squared correlation coefficient (R2). LSTM outperformed ARIMA and Random Forest with a higher R2 value of 0.8 and the lowest MAE of 125.29. Such predictions can help farmers to effectively plan crop cultivation and traders to make well-informed decisions.
英文关键词	agricultural commodity; price forecasting; big data analytics; Apache Spark framework; Pyspark
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Multidisciplinary
WOS记录号	WOS:001173528400059
来源期刊	ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294274
作者单位	Ned University of Engineering & Technology; Iqra University
推荐引用方式 GB/T 7714	Rana, Humaira,Farooq, Muhammad Umer,Kazi, Abdul Karim,et al. Prediction of Agricultural Commodity Prices using Big Data Framework[J],2024,14(1).
APA	Rana, Humaira,Farooq, Muhammad Umer,Kazi, Abdul Karim,Baig, Mirza Adnan,&Akhtar, Muhammad Ali.(2024).Prediction of Agricultural Commodity Prices using Big Data Framework.ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH,14(1).
MLA	Rana, Humaira,et al."Prediction of Agricultural Commodity Prices using Big Data Framework".ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH 14.1(2024).