What Influences Householder Behavioral Changing at Home

Résumé du livre

Chapter ThirteenHow (AI) technology impacts food consumersand food manufacturers food eating habitsor attitudes to avoid wastageFuture (AI) technology ( big data gathering tool) can be used to gather data concerns to supervise or manage or control these below food consumers and food manufacturers' food waste or food loss behaviours in order to find the main reasons to cause their food waste or loss wastage behaviours in order to achieve to prevent or avoid their wastage behaviours occurrence again more easily. I shall explain to these aspects as below, they include :On (AI) auto-supervised food consumer individual food waste behavioural aspect: Firstly, for the original food wastage supervised, the original food which included food in unopened packages behaviours, which was thrown away because it passed the expiration date including products to like cheese, yogurts and other daily products, loose fruits and vegetables which became rotten and was never used. (AI) technology can follow these waste food gather number from different countries' supermarkets, food stores to gather waste food number in order to carry statistic analysis to find the reasons why these kinds of original food, cheese, yogurts, fruit and vegetable wastage number has increase to every month in order to attempt to find the reasons to cause wastage food behaviours , it is either caused by either food manufacturers' food losses ( good manufacturing process negligent factor) cause or food consumers' food eating habits cause in order to find the solution methods to change their wrong food loss or waste influential behaviours to the food manufacturers as well as the wrong food habits or attitudes to the food household consumers more easily and accurately. Secondly, for another kind of wastage food is partly used food supervised, the food which could have been opened or started, but was never finished. (AI) data gathering tool can attempt to follow different countries' food rubbish to gather the number data to find how much rubbish number is belonged to the country's wastage food is partly used food or the food which could have been opened or started, but was never finished to find the main reasons ( factors) why they caused those kind of food wastage number is increased from food consumers; eating habits or what the reasons ( factors) caused their number is decreased the country's food consumers' eating habits in order to find the most effective or accurate methods to solve this kind of food wastage behaviours from the country's food consumers.Thirdly, for the another kind of food wastage is leftover supervised, which consist of food left or the plates or were cooked in big amounts which ended is not being eaten. (AI) technology big data gathering tool can gather global these kind of food waste number concerns every householder's food left on plates or were cooked in big amounts to every country, but not being eaten number from their rubbish. TO attempt to find what factors( reasons) influence their food habits to do food left on the plates or were cooked in big amounts , which are nor being eaten food habits. SO, it can follow this kind of global food wastage increasing or decreasing number every month statist data to attempt find what factors influence this kind of food wastage to household food consumers to be either decreased or what factors influence this kind of food wastage number to be increased to conclude the more accurate food behavioural wastage judgement for this kind of food wastage habits to every country household food consumers, e.g. life habitual factor, food price factor, food perishable factor, climate influence factor etc. different kinds of external factors to cause every country's household food wastage behaviours.