In today’s dynamic fruit industry, the integration of deep learning-powered fruit detection tools has emerged as a crucial component, streamlining operations like forecasting fruit yields and automating harvesting procedures. While these innovations have propelled the sector forward, the laborious nature of data labeling for training purposes continues to present a significant impediment, impeding further progress in this domain.
New AI Model Automates Fruit Detection Through Domain Adaptation Techniques.
