Tracking of Food Waste in Food Supply Chain Using Machine Learning

S. B, S. R, S. R, Saras Prasad Raju V, Ruma Prasad H, Sailendiran R
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Abstract

In India, annually, 67 million tonnes of food are wasted, costing the country roughly 92000 crores. The motivation behind recycling food waste is the desire to divert waste from landfills. This study aims to manage food wastage in regional Food Supply 7hChains (FSC). In this model, we use modern generation machine learning techniques to track the amount of food waste in FSCs and redirect it for productive usage. The future recommended model is inferred to be effective across a number of areas based on the numerous studies that were conducted.
利用机器学习跟踪食品供应链中的食物浪费
在印度,每年有6700万吨食物被浪费,国家损失约9200亿卢比。回收食物垃圾的动机是希望将垃圾从垃圾填埋场转移出去。本研究旨在管理区域食品供应链(FSC)中的食物浪费。在这个模型中,我们使用现代机器学习技术来跟踪fsc中食物浪费的数量,并将其重新定向用于生产用途。根据所进行的大量研究,推断未来推荐的模型在许多领域都是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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