An Integrated Hybrid-Stochastic Framework for Agro-Meteorological Prediction Under Environmental Uncertainty

An Integrated Hybrid-Stochastic Framework for Agro-Meteorological Prediction Under Environmental Uncertainty

This study presents a comprehensive framework for agro-meteorological prediction, combining stochastic modeling, machine learning techniques, and environmental feature engineering to address challenges in yield prediction and wind behavior modeling. Focused on mango cultivation in the Mediterranean...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohsen Pourmohammad Shahvar, Davide Valenti, Alfonso Collura, Salvatore Micciche, Vittorio Farina, Giovanni Marsella
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Stats
Subjects:
stochastic modeling
hybrid machine learning
proxy yield estimation
wind behavior analysis
Online Access:https://www.mdpi.com/2571-905X/8/2/30
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.mdpi.com/2571-905X/8/2/30

Similar Items