
Vol. 6 No. 1: September (2025)
EDITOR'S CHOICE
Integration of Spectroscopy and Machine Learning for Food Contamination Detection: A Review
Muhammad Adil, Matti Ur Rehman , Ehtesham Ali, Hassan Ibrahim, Maria Rukan, Muhammad Qasim Ali
EDITOR'S CHOICE
Integration of Spectroscopy and Machine Learning for Food Contamination Detection: A Review
Muhammad Adil, Matti Ur Rehman , Ehtesham Ali, Hassan Ibrahim, Maria Rukan, Muhammad Qasim Ali

This journal of International Journal of Advanced Research in Food Science and Agriculture Technology (FSAT) welcomes high-quality original contributions on food science, farming and agriculture sciences and research. The scope of the journal covers topics but are not limited to the areas of A) Farming and agriculture: Smart farming (IoT, UAV), precision agriculture, urban farming, genetics, omics (including genomics, proteomics, metabolomics and transcriptomics), crop production, farm management, agribusiness, AI in agriculture. Another domain include B) Food science: Food security and sustainability, food analyses (Sensory, processing, etc), foodomics (Proteomics and metabolomics), food biotechnology, food chemistry, halal slaughtering practices, food microbiology, food technology innovation (3D-printing, additives, AL, etc), food market analyses, food safety and quality assurance; HACCP, GMP, Jakim and food and culture.






International Journal of Advanced Research in Food Science and Agriculture Technology (FSAT) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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