Quantifying tree-level peach flowering dynamics using UAV imagery and an optimized instance segmentation model.

Application of an improved U-Net with image-to-image translation and transfer learning in peach orchard segmentation.

Machine learning methods for efficient and automated <i>in situ</i> monitoring of peach flowering phenology.