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Airflow Modeling for Citrus under Protective Screens.

Liubov Kurafeeva1, Rich Wolski1, Chandra Krintz1

  • 1Computer Science Department, University of California, Santa Barbara, CA 93106, USA.

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Summary
This summary is machine-generated.

A new airflow model accurately predicts wind conditions within Citrus Under Protective Screens (CUPS). This tool supports smart agriculture and climate prediction for protecting citrus crops from pests and diseases.

Keywords:
CFDcitrus cropcontrolled environment agriculturevalidationwind modeling

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Area of Science:

  • Agricultural Engineering
  • Environmental Science
  • Computational Fluid Dynamics

Background:

  • Citrus Under Protective Screens (CUPS) modify microclimates, necessitating adapted farm management.
  • Protective screens are crucial for shielding citrus from insect vectors, like those causing citrus greening disease.
  • Accurate environmental data is vital for optimizing CUPS performance and crop protection strategies.

Purpose of the Study:

  • To develop and validate a computational fluid dynamics (CFD) model for predicting airflow within commercial-scale CUPS.
  • To provide a tool for enhancing climate prediction and farm management decisions in protected citrus cultivation.
  • To assess the model's accuracy using both controlled small-scale experiments and historical data from a full-scale CUPS.

Main Methods:

  • Development of a CFD model to simulate wind speed and direction within CUPS structures.
  • Validation through modeling a small-scale CUPS replica under controlled laboratory conditions.
  • Back-testing the model's accuracy against historical airflow measurements from a full-scale research CUPS.

Main Results:

  • Modeled airflow predictions for both small-scale and full-scale CUPS were statistically validated against measured data.
  • The CFD model demonstrated accuracy within established confidence intervals for wind conditions inside protective screens.
  • The validated model shows potential for reliable climate prediction in CUPS environments.

Conclusions:

  • The developed airflow model is a reliable tool for understanding and predicting microclimatic conditions within CUPS.
  • This model can significantly aid in developing decision support systems for smart agriculture in protected farming.
  • Findings support the adaptation of farm management and treatment strategies for CUPS, improving citrus crop protection.