Enhancing wheat yellow rust detection through modified deep learning approach

Enhancing wheat yellow rust detection through modified deep learning approach

The study reports the effectiveness of machine learning and deep learning (ML/DL) algorithms in detecting yellow rust disease in wheat, keeping in view that early stage detection is crucial for minimizing the crop yield loss. Various traditional ML algorithms including Support Vector Machine (SVM),...

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Bibliographic Details
Main Authors: Shant Kumar, Rohit Singh, Sudheer Kumar, Sandeep Gupta
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Current Plant Biology
Subjects:
Wheat yellow rust
Machine learning
Convolutional neural networks
Sciket-learn
Tensorflow
Augmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2214662825000404
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