Evaluation of neural-network classifiers for weed species discrimination

Engineering

• Dataset 100%
• Weed Control 100%
• Evaluation 100%
• Classification Accuracy 66%
• Research 66%
• Images 66%
• Environmental Impact 33%
• Control Systems 33%
• Classification Performance 33%
• Texture Feature 33%
• Texture Analysis 33%
• Saturation Intensity 33%
• Selection Procedure 33%
• Radial Basis Function 33%
• Application 33%
• Requirement 33%
• Image Data 33%
• Data Model 33%
• Network Model 33%
• Soil Surface 33%
• Accuracy 33%

Computer Science

• Neural Network 100%
• Classifier 100%
• Procedure 100%
• Evaluation 100%
• Control 60%
• Class 60%
• Classification Accuracy 40%
• Neural Network Model 20%
• Data Model 20%
• Comparison Study 20%
• Feature Selection 20%
• Radial Basis Function 20%
• Texture Analysis 20%
• color feature 20%
• Application 20%
• Analysis Technique 20%
• Classification Performance 20%
• back-propagation neural network 20%
• Statistical Classification 20%
• Counterpropagation 20%
• Texture Feature 20%
• Accuracy 20%

Agricultural and Biological Sciences

• Neural Network 100%
• Weed 100%
• Herbicide 60%
• Weed Control 60%
• Accuracy 60%
• Model 40%
• Research 40%
• Convolvulaceae 20%
• Velvetleaf 20%
• Surface 20%
• Occurrence 20%
• Methodology 20%
• Chenopodium Album 20%
• Abutilon Theophrasti 20%
• Soils 20%
• Analytical Method 20%
• Environmental Impact 20%