Improving the Accuracy of Real Field Pomegranate Fruit Diseases Detection and Visualization using Convolution Neural Networks and Grad-CAM.
Sheetal RathiVaishali NirgudePublished in: Int. J. Data Anal. Tech. Strateg. (2023)
Keyphrases
- neural network
- detection accuracy
- detection rate
- self organizing maps
- high accuracy
- pattern recognition
- false positive rate
- computational cost
- fuzzy logic
- prediction accuracy
- false alarms
- data visualization
- detection algorithm
- object detection
- image processing
- multi layer
- support vector machine classifier
- detection method
- artificial neural networks
- multilayer perceptron
- image acquisition
- feed forward
- false positives
- error rate
- risk factors
- classification accuracy