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
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3275

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology