Collect data and conduct feature engineering methods
Identify suitable machine learning / deep learning models for tea leaves classification
Train neural networks (model training)
Validate models for training and testing for better results
Develop a portable device solution
Integrate the mobile device solution with the trained models
Apply the solution for the real environment and fine-tuning the application.