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...
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Main Authors: | Mohsen Pourmohammad Shahvar, Davide Valenti, Alfonso Collura, Salvatore Micciche, Vittorio Farina, Giovanni Marsella |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-04-01
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Series: | Stats |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-905X/8/2/30 |
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