Short-term Forecast of Agricultural Prices Using CNN+LSTM

Author:

Chen Peng1ORCID,Ye Hengzhou1ORCID

Affiliation:

1. Guilin University of Technology, China

Publisher

ACM

Reference21 articles.

1. Agricultural product price forecasting methods: research advances and trend;Wang Luyao;British Food Journal.,2020

2. Optimal forecast combination based on ensemble empirical mode decomposition for agricultural commodity futures prices

3. Price forecasting and span commercialization opportunities for Mexican agricultural products;Jacobo Wilfrido;Agronomy.,2019

4. Surindar Gopalrao Wawale , Malik Jawarneh , P. Naveen Kumar , Thomas Felix , Jyoti Bhola , Roop Raj , Sathyapriya Eswaran , and Rajasekhar Boddu . 2022. Minimizing the error gap in smart framing by forecasting production and demand using ARIMA model. Journal of Food Quality. 2022 (May 2022 ), 1139440. https://doi.org/10.1155/2022/1139440. 10.1155/2022 Surindar Gopalrao Wawale, Malik Jawarneh, P. Naveen Kumar, Thomas Felix, Jyoti Bhola, Roop Raj, Sathyapriya Eswaran, and Rajasekhar Boddu. 2022. Minimizing the error gap in smart framing by forecasting production and demand using ARIMA model. Journal of Food Quality. 2022 (May 2022), 1139440. https://doi.org/10.1155/2022/1139440.

5. Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler

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