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Automatic Detection and Classification of Solanum Lycopersicum(Tomato)…
Automatic Detection and Classification of Solanum Lycopersicum(Tomato) Diseases using Machine Learning
Direct Methods
Enzyme-Linked Immunosorbent Assay (ELISA)
Polymerase Chain Reaction (PCR)
Indirect Methods
Thermography
Fluorescence Imaging
Hyperspectral Imaging
RGB Imaging
Computer vision and machine learning -based disease detection
Image Pre-processing
Image Segmentation
K-means Clustering
Thresholding
Superpixel SLIC
Expectation Maximization
Feature Extraction and feature selection
Texture Features
Gray Level Co-occurance Matrix
Gabor Transform
Haralick features
Local Binary Patterns
Principal Component Analysis(PCA)
Shape Features
Color Features
Standard Deviation
Mean
Classification
Support Vector machine(SVM)
Neural Network(NN)
Multilayer Perceptron(MLP)
k-Nearest Neighbour(K-NN)
Ensemble Learning
Fuzzy Classifier
Naive bayes Classifier
Random Forest
Deep Learning based disease detection
Training Deep Learning Models
Training from Scratch
Transfer Learning
Software /Technology based assistance for DL work
Computer vision-based segmentation and Deep Learning based hybrid disease detection
Computer vision-based segmentation and Deep Learning based hybrid disease detection approach