BeijingGinkgoSense-Net detects fruit at 95% under field clutter.
Lab-trained vision models fail on occlusion and shadow; GinkgoSense-Net’s value is robustness to field interference, not benchmark accuracy.
Reliable field detection is the bottleneck for autonomous harvest robots; accurate lab benchmarks don’t transfer.
Sources: Nature