Data-driven analysis of climate impact on tomato and apple prices using machine learning
Machine learning has been used in various areas, but there are few studies on price prediction for agricultural products. Here, a machine learning technique for the price prediction of tomato and apple fruits was attempted based on environment and price data for 12 years. The goal of this study is t...
Saved in:
Main Authors: | Sunghyun Yoon, Tae-Hwa Kim, Dong Sub Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024175093 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Global Tomato Production: Price Sensitivity and Policy Impact in Mexico, Türkiye, and the United States
by: Ramu Govindasamy, et al.
Published: (2025-01-01) -
Housing Price Forecasting Using AI (LSTM)
by: Hossein Ziyadi, et al.
Published: (2023-12-01) -
Processing tomato (Lycopersicon esculentum Miller) yield and quality in arid regions through micro-nano aerated drip irrigation coupled with humic acid application
by: Jiaying Ma, et al.
Published: (2025-03-01) -
Tomato Suspension Agreements and the Effects on Market Prices and Farm Revenue
by: Zhengfei Guan, et al.
Published: (2018-04-01) -
Tomato Suspension Agreements and the Effects on Market Prices and Farm Revenue
by: Zhengfei Guan, et al.
Published: (2018-04-01)