Opinion
Analyzing Edible Algal Species\' Nutritious Values using Shortwave Infrared Hyperspectral Imaging and Machine Learning Techniques
Author(s): Pushkar Vats*
Due to their abundance in nutrients and bioactive chemicals, as well as their application as ingredients in food products, cosmetics, nutraceuticals, fertilizers, biofuels, and other products, algae have become more and more in demand in Western nations in recent years. In order to evaluate the qualitative qualities of algae, their physicochemical and nutritional components must be evaluated in order to determine whether they are suitable for a given end use. Typically, this evaluation is carried out using costly, time-consuming, and destructive traditional chemical analyses that also require sample preparation. The Hyperspectral Imaging (HSI) methodology has shown effective in evaluating and controlling food quality, and it has promise in surm.. Read More»
