Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale

Keyphrases

• Israel 100%
• Machine Learning Models 100%
• Novae 100%
• Citrus Fruit 100%
• Fruit Cracking 100%
• Explainable Machine Learning 100%
• Decision Support System 50%
• Classification Accuracy 50%
• Genetic Background 50%
• Temperature-humidity Index 50%
• Effective Tool 50%
• Regression Model 50%
• Yield Loss 50%
• Climate Change 50%
• Citrus 50%
• Linear Correlation 50%
• Climate Change Impacts 50%
• Environmental Characteristics 50%
• Temperature Radiation 50%
• Classification Model 50%
• Mean Absolute Error 50%
• Postharvest Treatment 50%
• Factor Intensity 50%
• Selected Features 50%
• Extracting Features 50%
• Citrus Orchard 50%
• Shapley Additive Explanations 50%
• Tree Age 50%
• Management Characteristics 50%
• Citrus Mandarin 50%
• Citrus Plantation 50%
• H2O AutoML 50%
• Cracking Levels 50%
• Crack Causes 50%
• Rind Disorders 50%

Agricultural and Biological Sciences

• Citrus 100%
• Fruit Cracking 100%
• Citrus Fruits 100%
• Climate Change 25%
• Preharvest 25%
• Mandarin 25%
• Genetic Background 25%
• Tree Age 25%

Food Science

• Citrus Fruits 100%