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Digital Twin‐Based Uncertain Weather Condition Monitoring for Enhanced Crop Yield Prediction

ABSTRACT Crop yield is impacted by uncertain weather conditions, including irregular rainfall, changing temperatures, and humidity variations. Existing crop yield prediction models fail to capture the dynamic nature of weather and mostly depend on limited data. Accurate modeling of weather variabili...

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Principais autores: A. Alphonse John Kenneth, A. Stella, T. C. Jermin Jeaunita, S. Sajithra Varun, Haiter Lenin Allasi, Mary Vasanthi Soosaimariyan
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2026-05-01
Serier:Meteorological Applications
Fag:
crop yield prediction
digital twin
Monte Carlo simulation
NASA POWER data access viewer
uncertain weather conditions
Online adgang:https://doi.org/10.1002/met.70198
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