Name: AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach (en Inglés)
SKU: 66206704
Price: 62.06 USD
Availability: InStock
Author: Mondal, Saptarshi; Roy, Rupsha

portada AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach (en Inglés)

AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Mondal, Saptarshi; Roy, Rupsha

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

ISBN13

9786208454180

AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach (en Inglés)

Mondal, Saptarshi; Roy, Rupsha (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "AI-Driven Soil Classification: Faster R-CNN Deep Learning Approach (en Inglés)"

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. Designed for applications in precision agriculture and environmental science, this work reduces dependency on traditional lab-based soil analysis and speeds up decision-making in soil management. By merging AI-driven techniques with practical agricultural needs, this research sets a benchmark for soil analytics and highlights how deep learning can transform sustainable farming and resource optimization.