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Author/Affiliation: Howe Seng GohOpen AccessArticle
9 Pages, 1,110 KB 
Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques
Abstract:
The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques. Due to the increasing large amounts historical data of agricultural commodity prices and the need of performing accurate prediction of price fluctuations, the solution has largely shifted from statistical methods to machine learning…
Read More(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Artificial Intelligence in Computer Science (CAI))