Soil organic matter prediction using smartphone-captured digital images: Use of reflectance image and image perturbation

Earth and Planetary Sciences

• Machine Learning 100%
• Soil Organic Matter 80%
• Reflectance 60%
• Pipeline 40%
• Model Validation 40%
• Soil Type 20%
• Perturbation 20%
• Computer Vision 20%
• Stacking 20%
• Random Noise 20%

Computer Science

• Smartphones 80%
• Optimization 40%
• Original Image 40%
• Segmentation Technique 20%
• Image Capture 20%
• Image Noise 20%
• Gaussian Noise 20%
• Image Segmentation 20%
• Cost Saving 20%
• Illumination Condition 20%
• Image Acquisition 20%