Crude Fibre - Feed Inputs
Crude fibre is a key nutritional parameter for agricultural feed quality certification - used by feed mills, livestock farms, and regulatory bodies to verify that raw material inputs (rice straw, sugarcane bagasse, coconut pith, etc.) meet formulation specifications. Current measurement by Weende proximate analysis takes 6–8 hours. NIR-based crude fibre prediction is well-established for homogeneous matrices (e.g., single-grain feeds) but less characterised for the heterogeneous mixed-input matrices common in Sri Lankan and South Asian livestock farming.
Findings
What We've Established
Technical Feasibility Assessment
Published NIR calibrations for crude fibre in standardised feed matrices (wheat straw, hay) show R² > 0.90. Heterogeneous inputs with highly variable particle size and composition present greater calibration challenges and may require particle size normalisation or matrix-specific sub-models.
Methodology
Technical Approach
Feasibility review is ongoing. The proposed approach is to begin with one feed input type (likely rice straw or coconut pith, due to volume and availability) before expanding. Reference method is ISO 6865 crude fibre determination. Calibration dataset requirements are estimated at 150–300 samples for a single matrix type.
Status
Where We Stand
Early feasibility exploration. No partner commitments and no dataset collection. The primary objective at this stage is to identify one or two feed mills or livestock operations willing to serve as data collection and validation partners.
Roadmap
Next Steps
Define target feed input matrices in priority order
Identify feed mill or research institute partners for sample access
Conduct a small-scale spectral feasibility scan on representative samples before committing to full calibration
Explore More
Related Projects
Milk Quality
Rapid compositional analysis for raw milk - fat, protein, and adulteration screening.
View project Awaiting ResponseRubber - Dry Rubber Content
Dry rubber content (DRC) measurement at point of purchase - enabling transparent, data-driven pricing between smallholders and processors.
View project Early ExplorationBlack Pepper & Spices
Spectral signature mapping for black pepper and mixed spices - dataset acquisition phase.
View projectR&D Partnerships
Interested in This Research?
If you have relevant data, domain expertise, or a measurement problem in this area, we're open to research collaboration and data-sharing agreements.
