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What is Computer Vision in Grape Seedling Grafting about?

This study investigates the use of computer vision to enhance rootstock-graft combinations and detect diseases in grape seedlings, presenting a novel approach in viticulture. The integration of computer vision and deep learning techniques allows for automated analysis of seedling characteristics, improving efficiency and accuracy in grafting processes. The implementation of a semi-automated system is expected to significantly increase grafting capacity and reduce manual labor, ultimately benefiting grape pr

Author

João

Language

EN