Description

Understanding the relationship between measures of fruits and vegetables consumption, attitudes, demographics, and various nutritional status variables is important not only for its basic theoretical value, but also for its role in identifying potential health problems and developing more meaningful consumer information. Nutritious fruits and vegetables recognition is one of the major tasks for a customer. In large stores plenty of agricultural products are stored, then there needs a classification for separating normal fruits and vegetables and nutritious fruits and vegetables. The main objectives of our system is to predict the nutrition values for given input fruits and vegetables image by using deep learning algorithm. Then experimental results shows that accuracy, and error rate .