S. B, S. R, S. R, Saras Prasad Raju V, Ruma Prasad H, Sailendiran R
{"title":"Tracking of Food Waste in Food Supply Chain Using Machine Learning","authors":"S. B, S. R, S. R, Saras Prasad Raju V, Ruma Prasad H, Sailendiran R","doi":"10.1109/ICECONF57129.2023.10083755","DOIUrl":null,"url":null,"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.","PeriodicalId":436733,"journal":{"name":"2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECONF57129.2023.10083755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.