AgrySET: A Synthetic Data Generation Framework for Agricultural Semantic Segmentation and Defect Recognition
While existing synthetic generation methods, such as Generative Adversarial Networks (GANs) and Diffusion Models, typically require large pre-existing datasets and substantial computational resources, this paper presents AgrySET: a novel hardware–software framework that bypasses these limitations. The system utilizes a...
Juan Camilo Mejía Hernández, Germán Andrés Holguín Londoño, Sara Morales Acevedo et al.
· AgriEngineering · 0 citations