English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

With the growing demand for healthy foods, agricultural product priceforecasting has become increasingly important. Hass avocados, as a high-valuecrop, exhibit complex price fluctuations influenced by factors such asseasonality, region, and weather. Traditional prediction models often strugglewith highly nonlinear and dynamic data. To address this, we propose a hybriddeep learning model, TCN-MLP-Attention Architecture, combining TemporalConvolutional Networks (TCN) for sequential feature extraction, Multi-LayerPerceptrons (MLP) for nonlinear interactions, and an Attention mechanism fordynamic feature weighting. The dataset used covers over 50,000 records of Hassavocado sales across the U.S. from 2015 to 2018, including variables such assales volume, average price, time, region, weather, and variety type, collectedfrom point-of-sale systems and the Hass Avocado Board. After systematicpreprocessing, including missing value imputation and feature normalization,the proposed model was trained and evaluated. Experimental results demonstratethat the TCN-MLP-Attention model achieves excellent predictive performance,with an RMSE of 1.23 and an MSE of 1.51, outperforming traditional methods.This research provides a scalable and effective approach for time seriesforecasting in agricultural markets and offers valuable insights forintelligent supply chain management and price strategy optimization.

Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture