Estimating Nitrogen, Phosphorus, and Potassium Content in Pear Trees Using UAV-Based Multispectral Imagery
Machine learning combined with multispectral remote sensing provides an efficient and non-destructive approach for monitoring fruit tree nutrient status. However, conventional machine learning methods have limited ability to capture complex spectral-feature interactions, while deep neural networks often suffer from ove...