Improving Strawberry Yield Prediction by Integrating Ground-Based Canopy Images in Modeling Approaches

Improving Strawberry Yield Prediction by Integrating Ground-Based Canopy Images in Modeling Approaches

Strawberries (<i>Fragaria</i> ×<i>ananassa</i> Duch.) are highly perishable fruit. Timely prediction of yield is crucial for labor management and marketing decision-making. This study demonstrates the use of high-resolution ground-based imagery, in addition to previous yield...

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Bibliographic Details
Main Authors: Amr Abd-Elrahman, Feng Wu, Shinsuke Agehara, Katie Britt
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
canopy size metrics
<i>Fragaria</i> ×<i>ananassa</i>
high-resolution
image analysis
regression model
Online Access:https://www.mdpi.com/2220-9964/10/4/239

Internet

https://www.mdpi.com/2220-9964/10/4/239

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