Waste becomes wonder

Return to the earth.

This technology establishes a unified spectral–spatial modeling framework that integrates the spectral signatures captured in a single hyperspectral imaging (HSI) scan with synchronously registered spatial features—including color, texture, morphology, edge structure, and deep features. Powered by Random Forest (RF) regression, it enables rapid, non-destructive prediction of the Integrated Maturity Score (IMS) and key compost indicators: Germination Index (GI), NO₃⁻–N, NH₄⁺–N, and C/N ratio.