Publications by authors named "Muchen Zhou"
Article Synopsis
- This study explored how the color and texture of sugarcane leaves can indicate their nitrogen (N) nutrient status, aiming to improve nitrogen fertilizer management through digital image analysis.
- Researchers used digital image processing to examine leaf images collected during key growth stages, employing principal component analysis (PCA) and various regression methods to predict nitrogen content based on these image features.
- The stacking fusion model (SFM) demonstrated the highest accuracy in estimating nitrogen levels, significantly outperforming other models, and showed potential for quick and non-invasive assessment of crop nutrient health using machine learning techniques.
