This project aims to increase the seed ginger training dataset for improving the performance of the AI-based Fusarium Predictor prototype developed in the Ginger Ninja pilot project. The pilot study was trained using one expert seed ginger grader. It is proposed to replicate the Ginger Ninja AI-based Fusarium Predictor prototype and distribute them to a series of farms to allow experienced ginger graders to scan and classify seed ginger during the seed cutting season. This data will be collected over four-weeks during seed ginger cutting and then merged with the initial pilot project data to retrain the AI-based classifier and assess this multiple “expert” trained performance to the original system.