—In Indonesia, malnutrition and overnutrition can still be found especially among children and toddlers who are supposed to get adequate nutrition. The cause of malnutrition is inadequate nutrition intake, both in terms of the quantity and quality of the food. Therefore, mothers need to know whether the food consumed by children has reached the specified nutrition intake recommendation. This research develops a system to predict macronutrient content in baby food using Near-infrared Spectroscopy (NIRS) to obtain the spectral profile of the food and Deep Learning approach such as Deep-belief network (DBN) and Convolutional Neural Network (CNN) to build the prediction model. We used instant-porridge scan data from SCiO to build the model. CNN managed to give the best performance with error for carbohydrate, protein and fat 11.70%, 26.14% and 28.72% respectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.