Myths and Realities of AI in Food and Ingredient Analysis: Why Human Expertise Still Matters Generated by AI In this age of artificial intelligence (AI), applications of AI are increasing daily, and it is also the same in the food and ingredient industries. AI systems can analyse ingredient samples faster than ever before, predict food …
Dispelling the Hype: AI’s True Role in Food Analysis Read More »
Many agricultural products, such as coffee, soybeans, and corn, often have random flaws or imperfections. While visual defects due to mould growth, insect damage, and foreign matter for example are sortable manually, non-visual defects such as over-fermentation, early mould growth and overheated grains are only detectable by sensory evaluation or further processing, which is either …
AI-Powered Non-Visual Defect (NVD) Detection in Coffee Read More »
Tasting by “Sight” This simple phrase underpins how ProfilePrint’s analyser detects sensory notes. Let’s first examine how we as humans perceive smell and taste. Every food that we eat or drink can be defined in terms of its chemical makeup. Beyond the well-known protein, fat and carbohydrates present which influence mouthfeel, food items contain a …
Cracking the Flavour Code: ProfilePrint’s Detection of Sensory Notes Read More »
Artificial Intelligence (AI) is transforming food quality analysis in the agri-food sector, introducing innovative solutions to enhance accuracy, consistency, and efficiency. Common AI applications in this field include image recognition, spectral analysis, and machine learning-based predictions. These technologies are revolutionising how food quality is assessed, moving away from traditional, subjective methods to more objective, data-driven …
ProfilePrint leverages the power of Machine Learning (ML) to transform digital fingerprints into valuable inputs for informed decision-making, offering a revolutionary approach to food quality assessment. From Light to Insight: Pre-processing Spectral Data for Prediction ProfilePrint’s analyser captures the chemical signature of ingredients (left). The raw spectra data is then processed and shown on the …
The Role of Machine Learning in ProfilePrint’s Technology Read More »
Imagine your Food Having its Own Unique ID – Like a Fingerprint! A “digital food fingerprint” is an innovative concept that captures the unique molecular signature of natural ingredients, analogous to how human fingerprints uniquely identify individuals. Developed by ProfilePrint, this technology is based on spectroscopy. Briefly, molecules in food samples are excited with light …
ProfilePrint’s Chief Scientific and Technology Officer unveils how their Identity-as-a-Service (IDaaS) technology is transforming agri-food quality assessments. In today’s agri-food industry, ensuring consistent quality is paramount. ProfilePrint tackles this challenge with a groundbreaking technology called Identity-as-a-Service (IDaaS). Unlike traditional methods that only test for specific chemical compounds, IDaaS takes a holistic approach, leveraging ProfilePrint’s spectrometer device …