A big appetite for data Food Science and Technology

The evolution of novel data processing technologies is fast paced and the volume of data being generated is growing by the second. The food industry stands to benefit from this and has been testing and adapting various routes for using data science techniques to enhance the production of safe and healthy foods. Data science requires a multidisciplinary approach and a broad range of skill sets, from mathematics and statistics, computer science and machine learning to artificial intelligence (AI). Data science also needs to have strong ties to the actual domain knowledge[1] in order to ask the right questions and select the right data. Predictive analytics and scientific modelling are interesting areas of data science and the activity in this space is growing.