Machine Learning Methods Analysis For Calories Measuremnt of Fruits and Vegetables

摘要

As people around the globe are becoming conscious about their weight, consume healthy and low-calorie food and keep away from obesity, it's an urge to establish a reliable system with high accuracy and efficiency for calorie and nutrition measurement in fruit/vegetable. The proposed model is developed to assist patients and dieticians to compute daily intake of calories. In this approach, 5 different machine learning models are used to predict classification accuracy. Our system includes camera and intelligent mat to capture the picture of the fruit/vegetable, in order to calculate the consumption of calorie. The proposed model achieves 88% accuracy with different testing-training cross validation dataset.