Butterfly, Larvae and Pupae Defects Detection

Pupae defects detection

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Butterfly, Larvae and Pupae Defects Detection by Mind Map: Butterfly, Larvae and Pupae Defects Detection

1. Market

1.1. Online

1.2. Retail

2. Convolutional Neural Network

2.1. Convolution

2.1.1. Assembled had three convolution layers

2.2. Pooling

2.2.1. nonlinear capacities to actualize pooling

2.3. Dropout

2.3.1. pproaching and active edges to a dropped-out

2.4. Dense

2.4.1. numerical task on two capacities

3. Association Mining

3.1. Butterflies Dataset

3.2. Gathering of eggs

3.3. Gathering of pupae

3.4. Season

3.4.1. Seasonal

3.4.2. Regular

4. Color Matching

4.1. Blob Filtering / Mass Sifting

4.2. Thresholding

4.3. Shape Detection

5. AutoML Vision

5.1. Labeling and Organizing Data

5.2. Training

5.3. Evaluating

5.4. Predicting

5.5. Testing the model

6. Image Recognition

6.1. Pupae/Cocoon

6.1.1. Pupae Defects Detection

6.2. Butterfly

6.3. Moth

7. Azure ML

7.1. Prepare

7.2. Experiment

7.3. Deploy

8. Agriculture

8.1. Farming

8.1.1. Host Plants

8.1.2. Flowers

9. Breeder

9.1. Breed butterflies