Olive Oil Manufacturing

Olive oil manufacturing is undergoing modernization driven by a need for improved quality control and efficiency. Current research focuses on applying computer vision techniques, including novel object detection models trained on both real and synthetic data, to automate processes like foreign object detection in olive grinders and yield estimation in olive groves. These advancements leverage machine learning and large language models to enhance precision agriculture and optimize production, ultimately impacting the quality and sustainability of olive oil production. Furthermore, research is exploring secure and privacy-preserving methods for collaborative data analysis in the olive oil industry using federated learning within trusted execution environments.