A hyperspectral co-design framework guided by occlusion sensitivity for early mould detection in bamboo

Key Points

• Early mould detection is achieved using hyperspectral imaging technology and occlusion sensitivity analysis, leading to timely interventions.
• The framework integrates machine learning techniques to analyze hyperspectral data, enhancing accuracy in mould identification.
• Co-design principles guide the development of tailored detection methods appropriate for bamboo material properties.
• This approach may enable more effective mould prevention, crucial for preserving bamboo structures.