International Journal on Science and Technology

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Volume 16 Issue 2
2025

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Food Waste Management And Prediction Using Machine Learning : A Comprehensive Analysis

Author(s) Gudapati Hemanth Suresh, Gorinta Rohan Pavan Varma, Paturi Mohan Adithya, Chikatla Rajesh, M Anantha Lakshmi
Country India
Abstract Food management is the process which involves planning, purchasing, preparing, and preserving food. Also involves tracking food and inventory management as it involves supply and storage of ingredients this is key aspect because there are certain advantages of it like monitoring sales trends, and generate reports, to avoid food wastage as it is a big issue where the per capita food wastage is about 55 kg per year Each year, an estimated 1.3 billion tons of food is wasted, accounting for nearly more than 33 percent. (FAO, 2019).This wastage not only represent s a loss of valuable resources which take months to cultivate but also leads to unwanted things. Purpose is exploring why food wastage occurs and waste management strategies in order to make more sustainable life . goal is done by using ML model which is random forest that can mitigate food waste and predicting future wastage prediction based on current trends.
Keywords Food waste management, machine learning, random forest
Field Computer > Network / Security
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-07
Cite This Food Waste Management And Prediction Using Machine Learning : A Comprehensive Analysis - Gudapati Hemanth Suresh, Gorinta Rohan Pavan Varma, Paturi Mohan Adithya, Chikatla Rajesh, M Anantha Lakshmi - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3275
DOI https://doi.org/10.71097/IJSAT.v16.i2.3275
Short DOI https://doi.org/g9drdj
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