•Used Training data which involves images of 11 types of plant seedlings and a weed crop that damages the crop,total of 4750 images.
•Extracted bottleneck features from a pretrained keras model - “Xception model” and used those features on different models like logistic regression,random forest to validate and choose the best predictions.