Adisseo launched PNE (Precise Nutrition Evaluation https://pne.adisseo.com), an online platform for the precise evaluation of the nutritional value of feed ingredients. Based on precise wet chemical detection and animal in vivo experiments, PNE can offer a precise quantitative model for nearinfrared spectroscopy analysis of feed ingredients. The platform is now home to 35 categories of feed ingredients and almost one hundred nutritional value indicators. Its analysis response time is less than three seconds. Annually, it provides near-infrared spectroscopy analysis predictions for more than 700 feed customers globally, exceeding 300,000 times.?

The latest update of PNE underwent three years of preparation. It meticulously integrates the needs and usage habits of Chinese customers, resulting in enhanced accuracy of model prediction: localization of raw material databases, the raw material database has been localized, with the Adisseo database now providing complete coverage of 35 local feed raw materials commonly utilized in China; automatic identification of raw material categories, the updated PNE version can identify the spectroscopy of raw materials, offer correction, and provide reminders when selecting an incorrect raw material model; classification of nutritional indicators by livestock and poultry, it can select the necessary analysis based on the kind of livestock and poultry, and exhibit a comprehensive report; quick comparison of analysis results, it facilitates quick comparison analysis of "indicator to indicator" for up to 5 samples; average repeated scanning of spectra, it can upload two scans of the same sample's spectra and obtain analysis results for the sample's average spectrum; comprehensive Chinese language upgrade, the updated PNE boasts a Chinese proficiency level of almost 100%. It encompasses a variety of classifications, including raw material categories, nutritional indicators, functional operation interfaces, spectral names, and more.

The revised PNE now boasts over ten optimized functions, enhancing its speed, precision, and convenience in capturing the nutritional value of feed ingredients. This platform provides support to feed factories in ensuring the production of superiorquality feed products and assists animal farms in making informed purchasing decisions, ultimately achieving greater cost-effectiveness.