Portable NIR Spectroscopy for Early Pregnancy Detection in Sheep Using Milk Samples
Non-invasive early pregnancy detection in sheep using portable NIR and V-NIR spectroscopy of milk
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Detail description
GC4SHEEP promotes digitalization and innovation in the dairy sheep sector to improve reproduction and fertility through AI-driven data processing. This study validates near-infrared (NIR) and visible-NIR (V-NIR) spectroscopy for non-invasive pregnancy detection in sheep milk, achieving 74% accuracy using SNV-processed NIR data from samples collected 26 days post-insemination. The method enables early detection 35 days before ultrasound confirmation, offering a promising tool for precision sheep farming.
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Contribution detail info
- Project
Federated Data Cloud Platform with Artificial Intelligence Layer for Genetic and Reproductive Impro
Federated Data Cloud Platform with Artificial Intelligence Layer for Genetic and Reproductive Improvement of National Dairy Sheep (GC4CLOUD)
- Location
- Spain
- Authors
- Inés Echeverría Goñi
- Purpose
- Monitor (metrics, conditions, progress, performance), Support decision-making and strategic planning
- File type
- document
- Created on
- May 05, 2023
- Origin language
- Spanish
- Official project website
- Federated Data Cloud Platform with Artificial Intelligence Layer for Genetic and Reproductive Impro
- License
- CC BY
- Keywords