Johnny Ch Lok

How Artificial Intelligence Help Householders Reduce Johnny Ch Lok

In conclusion, based on above different (AI) technology predictive function s, so it explains why it can replace education method to avoid or reduce future good or energy shortage challenge more easily. It is due to food consumers or food manufacturers' food waste or loss behaviours which can not be controlled to avoided to cause easily in their food manufacturing or crop growing processes as well as food consumption processes. (AI) green data revolution will create a smarter, more flexible food waste controlling system as more data is created and shared between food supply chain partners and food consumers. It can bring positive benefits to agricultural industry, such as food factory manufacturing automation, intelligent food packaging, food waste or loss risk analytics in manufacturing processes, food supply chain number forecasting, food product personalisation and new avoiding food waste or loss ways of engaging with food consumers. Finally, I shall discuss how (AI) technology can gather data to bring food waste or food loss threat consequent message to let humans ( food consumers or food manufacturers) to understand how to change their eating waste habits or food manufacturing loss behaviours more easily as below: Future (AI) technology can gather global food manufacturing and food consumption data to conclude one accurate food system trend model to let us to influence our negative or wrong eating habits or food manufacturing behaviours to improve to more positive in order to avoid food loss or food wastage causes easily.. The food eating or manufacturing behavioural system trends model can be as below: It includes how to consider a number of trends that will influence the food system over the coming decade, focusing on small number of " key trends" in agricultural industry and supermarket, food stores, food grocery and food manufacturing industry, fishing industry, restaurant and hotel food supply industry, these trends which focus on a number of issues across the natural environmental, social and economic influences, due to future food waste or food loss consequent causes.