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Automated Sugarcane Leaf Disease Detection Using AI Models

By Kevin Sitati

Automated Sugarcane Leaf Disease Detection Using AI Models

By Kevin Sitati

0 - Default Title
Description
This book explores the application of artificial intelligence in agriculture, focusing on automated detection of sugarcane leaf diseases. It presents a comprehensive study comparing classical machine learning models such as Decision Tree, Random Forest, AdaBoost, Gradient Boosting, SVM, and MLP with deep learning Convolutional Neural Networks. Using the Sugarcane Leaf Disease Dataset, the book details image preprocessing, feature extraction, model training, and evaluation with metrics such as accuracy, precision, recall, and F1-score. It highlights the advantages, challenges, and practical deployment potential of AI-driven disease detection in real-world agricultural settings, providing valuable insights for researchers, agronomists, and farmers seeking sustainable crop management solutions.
Product details
Binding:
Paperback
Number of Pages:
52
Release Date:
2026-01-20
Publication Date:
2026-01-20
Publisher:
GlobeEdit
Languages:
Original: English
ISBN10:
6209544878
ISBN13:
9786209544873
GPSR Manufacturer Reference:
[email protected]
Weight:
96 g
Height:
150 cm
Width:
220 cm
Thickness:
4 cm
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