An RGB-D pipeline using YOLOv8-Seg, CycleGAN inpainting, tilt correction, and polynomial regression estimates strawberry mass with reported errors of 8.11% for isolated and 10.47% for occluded berries.
An au- tonomous strawberry-harvesting robot: Design, development, integra- tion, and field evaluation
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Online Estimation of Table-Top Grown Strawberry Mass in Field Conditions with Occlusions
An RGB-D pipeline using YOLOv8-Seg, CycleGAN inpainting, tilt correction, and polynomial regression estimates strawberry mass with reported errors of 8.11% for isolated and 10.47% for occluded berries.