AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach

AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach

Achieving 99.94% accuracy in soil type detection using Faster R-CNN deep learning architecture

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This book presents an advanced deep learning solution for soil classification using Faster R-CNN, achieving 99.94% accuracy. It leverages image-based analysis to accurately classify multiple soil types, including Black, Alluvial, Loamy, and Red soils. The approach integrates image preprocessing, region proposal networks, and robust neural feature extraction to ensure high detection and classification performance. Visual outputs, including bar charts, scatter plots, and line graphs, illustrate predictive accuracy and confidence scores, enabling a better understanding of model performance. Desig...