← Back to Publications List

Monitoring and Benchmarking Processed Food Quality through Data-Driven Methods

Students & Supervisors

Student Authors
Kanij Fatima Bushra
Bachelor of Science in Computer Science & Engineering, FST
Nazmus Sakib Sami
Bachelor of Science in Computer Science & Engineering, FST
Jannatul Ferdous
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST

Abstract

With the increasing consumption of processed foods, there is a growing need for quality assessment testing for safety, nutrition and satisfaction. This study utilizes various public datasets, such as Composition of Foods Raw and Processed, Daily Food & Nutritional Dataset, Open Food Facts database, and food safety inspection data, to assess several aspects of processed foods quality. We check out the nutrients in some food products with their ingredients, processing, and contamination level. This methodology includes the measurement of the physicochemical properties (moisture, pH, fat, protein), a check on the ingredient and label, and a classification at the processing level which is taken from the Open Food Facts database. Different brands and product categories have different results in nutrient content, processing grade and safety indicators (result of tests). The manufacturing of the foods, sources of ingredients, and storage affect the quality of the product. The research shows that a systematic and data-driven analysis can help zero in on products which are safe, nutritional and those that need improvement This study provides manufacturers, regulators, and quality control agencies with a means of monitoring, benchmarking and improving a processed food’s quality through the integration of several acceptable datasets and assessment methods. In addition, the approach guarantees transparency for consumers, enabling them to make informed choices and lead to a healthier diet. All in all, data-driven quality analysis in food safety will provide support for sustainable production practice and help with enhancing consumer trust in the processed food system.

Keywords

Processed Foods Quality Assessment Food Safety Nutrition Analysis Physicochemical Properties Ingredient Analysis Processing Level Classification Contamination Detection Data-Driven Evaluation Open Food Facts Food Regulation Consumer Transparency

Publication Details

  • Type of Publication:
  • Conference Name: Gazipur Agricultural University International Conference 2025 "
  • Date of Conference: 12/12/2025 - 12/12/2025
  • Venue: Gazipur Agricultural University (GAU)
  • Organizer: Gazipur Agricultural University (GAU)
View on Publisher