Seed quality significantly affects crop yield and production costs in sugar beet farming, yet traditional methods for sorting monogerm and multigerm seeds are inefficient and lead to seed loss—how can AI technology be leveraged to optimize seed classification and improve productivity?

In this episode, we dive into research focused on enhancing sugar beet production quality through AI-driven seed classification.

Discover how NVIDIA Jetson Nano and TX2 boards, paired with YOLOv4 models, distinguish between single-embryo and multi-embryo seeds in real-time, reducing waste and improving yield.

Join us as we explore how machine vision is tackling a crucial challenge in modern agriculture.

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