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𝑵𝒐𝒏-𝑫𝒆𝒔𝒕𝒓𝒖𝒄𝒕𝒊𝒗𝒆 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 𝒊𝒏 𝑩𝒖𝒕𝒕𝒆𝒓
We can also use Near-infrared spectroscopy (NIR) to achieve the following objectives: * Detection and classification of adulteration (vegetable oils, foreign animal/plant fats) and butteroil authentication * Classification by origin…
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Determination of nutricional content in chocolates by NIR
Can we estimate caloric content and nutritional composition of chocolates in real time? We received a wide variety of samples: white, dark, filled, aerated. A lot of diversity, and that’s…
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🥚 Exploring Egg Properties with NIR Technology 🥚
✨ Did you know that with NIR it is possible to assess egg freshness without even breaking the shell? Egg foam properties are highly influenced by both external treatments and…
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PlantBased adulteration
𝗩𝗲𝗴𝗮𝗻 𝗣𝗿𝗼𝘁𝗲𝗶𝗻 is designed to complement daily protein intake and support muscle recovery and growth after exercise. 79 % 𝗽𝗲𝗮 𝗽𝗿𝗼𝘁𝗲𝗶𝗻 and 15 % 𝗿𝗶𝗰𝗲 𝗽𝗿𝗼𝘁𝗲𝗶𝗻 form the core of this formula,…
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𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗳𝗶𝘀𝗵? 🐟
At 𝗩𝗶𝗯𝗿𝗮𝗹𝘆𝘁𝗶𝗰𝘀, we are currently developing a study focused on the 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗳𝗶𝘀𝗵 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝗶𝘁𝘀 𝗳𝗿𝗲𝗲𝘇𝗶𝗻𝗴 𝗮𝗻𝗱 𝘁𝗵𝗮𝘄𝗶𝗻𝗴 𝗵𝗶𝘀𝘁𝗼𝗿𝘆. Fishing vessels and supply chain operators are not always…
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⭐ IS THE SPECTRAL VARIATION CAUSED BY A FACTOR (OR INTERACTION) LARGER THAN THE RESIDUAL VARIABILITY (NOISE)?
🔹 What problem is AComDim trying to solve?You have spectral data (NIR, Raman, etc.) collected under a designed experiment: 🟢 Several factors (e.g., instrument, temperature, sample type, operator)🟢 Possibly interactions…
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UMAP: A Geometric Approach to Dimensionality Reduction
These six plots show how UMAP represents the structure of NIR milk spectra when coloured by fat percentage. UMAP builds a low-dimensional map by preserving neighbourhood relations from the original…
Lees verder💡 The Crucial Role of Data Cleaning in Soil Spectroscopy Analysis
In many data analysis projects, especially when dealing with complex soil spectra, the most time-consuming step is often not building sophisticated models, but rather thoroughly cleaning and preparing the…
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Cleaning Extremely Noisy Soil Spectroscopy Data
Two-Criterion for Outlier Removal We have been diving deep into soil spectroscopy to predict key soil properties such as organic carbon, total carbon, nitrogen, clay, sand, silt, and bulk density.…
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Unexpected Target Imbalance: What to do?
In NIR analysis, we have found spectral outliers, which we have removed using exploratory methods. However, we have also faced another challenge in this dataset: a severe imbalance in the…
Lees verderSNEEUW, SNEEUW, SNEEUW! Snow, nieve, what a beauty!
https://www.vibralytics.nl We’ve been enjoying abundant snowfall here in the Netherlands, which reminds me so much of my stunning Patagonia… ❄️ What I find ABSOLUTELY FASCINATING about this research study, is…
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Selection of NIR devices
Did you know it’s now possible to PRINT infrared detectors smaller than 10 micrometers? 😮😮 In a recent study by Zhixuan Zhao and Ran An at the National University of…
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𝗬𝗲𝗿𝗯𝗮 𝗠𝗮𝘁𝗲: 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗣𝗲𝗼𝗽𝗹𝗲 𝗳𝗼𝗿 𝗠𝗶𝗹𝗹𝗲𝗻𝗻𝗶𝗮 🌿✨
Delicious, we can’t (and don’t want to) live without it. For many, it has been an integral part of daily life for thousands of years. 𝗬𝗲𝗿𝗯𝗮 𝗺𝗮𝘁𝗲 (𝗜𝗹𝗲𝘅 𝗽𝗮𝗿𝗮𝗴𝘂𝗮𝗿𝗶𝗲𝗻𝘀𝗶𝘀) is…
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⚽ Feature Selection in AI: Like Building a Winning Football Team
🙏 Special thanks to Esmael Ahmed for making the dataset openly available on GitHub and Auckland Figshare: 👉 https://lnkd.in/eyHdPrrR
Lees verderRevolutionizing Food Safety with AI: Visualizing Hyperparameter Optimization in NIR Spectroscopy!
This video showcases the optimization process for Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) using Optuna, applied to NIR spectral data with various preprocessing treatments (e.g., RAW, SNV, Der1+SNV, Der2+SNV).…
Lees verderEFFoST 2024 conference in Bruges 🧀✨
Thrilled to be presenting at the #EFFoST2024 conference in Bruges, sharing our research on innovative, non-destructive techniques for analyzing cheese! 🧀✨ We analyzed hyperspectral data from all cheese samples, applying…
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