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Machine Vision in Plant Leaf Disease Detection for Sustainable Agriculture

By Mridha, M. F.

Machine Vision in Plant Leaf Disease Detection for Sustainable Agriculture Computer Science

Machine Vision in Plant Leaf Disease Detection for Sustainable Agriculture

0 - Default Title
Description
Towards Explainable AI in Agriculture: SHAP-Interpretable Vision Transformer for Bean Disease Classification.- Challenges and Opportunities with Deep Learning and Computer Vision in disease free Agricultural Product Manufacturing.- Improving Agronomic Disease Detection and Classification: The Superiority of Hybrid Inception-Xception Ensemble Model for Rice Leaf Disease Classification.- Banana Leaf Spot Disease Detection using Deep Learning Algorithms.- A Computer Vision based Approach for Rice Pest Detection Using Deep Learning.- Revolutionizing Agriculture: Deep Learning Models for Crop Pest and Disease Analysis.- Corn Leaf Disease Detection Using Deep Convolutional Neural Networks and Grad-CAM Explainability.- A Hybrid CNN Architecture for Efficient Detection of Maize Plant Diseases.- Deep Learning based watermelon leaf Disease Classification.- Deploying CNN-ResNet50-BiLSTM for Paddy Leaf Disease Detection.
Product details
Number of Pages:
180
Release Date:
2025-08-22
Publication Date:
2025-08-22
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819645190
ISBN13:
9789819645190
GPSR Manufacturer Reference:
[email protected]
Weight:
758 g
Height:
215 cm
Width:
285 cm
Thickness:
15 cm
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