Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks

Crop discrimination at the plant or patch level is vital for modern technology-enabled agriculture. Multispectral and hyperspectral remote sensing data have been widely used for crop classification. Even though spectral data are successful in classifying row-crops and orchards, they are limited in d...

Ausführliche Beschreibung