Evaluation of Stem Rust Disease in Wheat Fields by Drone Hyperspectral Imaging

Keyphrases

• Stem Rust 100%
• Drone 100%
• Rust Disease 100%
• Hyperspectral Imaging 100%
• Wheat Field 100%
• Wheat Leaf Rust 60%
• Spectral Vegetation Indices 60%
• Random Forest Classifier 60%
• Growers 40%
• Disease Severity 40%
• Wheat Production 20%
• Plant Breeders 20%
• Management Decisions 20%
• Cereals 20%
• Disease Resistant 20%
• Classification Accuracy 20%
• Disease Outbreaks 20%
• Detection Accuracy 20%
• Breeder 20%
• Advanced Technologies 20%
• Disease Impact 20%
• Emerging Threats 20%
• Early Disease 20%
• Cereal Crops 20%
• Classification Methods 20%
• Support Vector Machine 20%
• Chlorophyll a (Chl a) 20%
• Multispectral Sensor 20%
• Increasing Population 20%
• Decision Tree Classifier 20%
• Binary Classification 20%
• Red Edge 20%
• Photochemical Reflectance Index 20%
• Higher Classification 20%
• Quadratic Discriminant Analysis 20%
• Stress Index 20%
• Plant Disease Severity 20%
• Overall Classification Accuracy 20%
• Line Selection 20%
• Real-time Decision 20%
• Hyperspectral Camera 20%
• Severity Class 20%
• Decision Tree Classification 20%
• Vegetation Stress 20%
• Four-level 20%
• Disease Level 20%
• Unmanned Aerial Vehicle 20%
• Classification Rate 20%
• High Severity 20%
• Tree Support 20%
• Level-based 20%

Agricultural and Biological Sciences

• Rust Diseases 100%
• Stem Rust 100%
• Hyperspectral Image 100%
• Vegetation Index 50%
• Random Forest 50%
• Growers 33%
• Plant Breeders 16%
• Cereal Crop 16%
• Red Edge 16%
• Discriminant Analysis 16%
• Support Vector Machine 16%
• Plant Diseases 16%
• Unmanned Aerial Vehicle 16%
• Chlorophyll 16%