An investigation of various applications of machine learning in food industry.

With growing world population, food need is growing. There are also fast developing food processing enterprises. Food waste must be reduced, the supply chain optimized and the logistics, food supply and food safety improved by an hour. Machine learning methods help food industries in achieving goals. Machine learning is a unique field of computer science that makes prediction possible by learning from previous available data. Machine learning algorithms helps up to a great extent in classification of previous data available. After this classification, machine learning methods assess future requirements accurately. This article discusses applicability of various machine learning methodologies in different areas related to food industry. These real world applications in food industry are crop selection, supply chain optimization, food logistics, and predicting maintenance in equipments, food delivery, revenue prediction and self service model. [ABSTRACT FROM AUTHOR]