1. A method for automated detection and processing of a plate of food for nutritional values, the method comprising: detecting, by at least one sensor, edges of the plate of food based on a depth of the plate of food in relation to other objects in a field of view; capturing, by the at least one sensor, a three-dimensional model of the plate of food; capturing, by the at least one sensor, image data for the plate of food, the image data comprising a visible light image and at least one near-infrared (NIR) image of the plate of food; transforming, by a processor, the image data into a composite image, the composite image mimicking a single image taken by a single sensor; identifying, by a processor, a food item that corresponds to the composite image; transforming, by a processor, the three-dimensional model of the identified food item into a volume for the identified food item; and calculating, by a processor, dietary information of the identified food item based on the volume of the food item.