Why 3D? Reconstructing Crop Lines to Predict Pest Risk

We're taking AI to the fields with Cenarius. This post dives into the complex technical process of using drone aerial footage and Gaussian Splatting to create accurate 3D reconstructions of agricultural areas. It's not just a pretty picture; the real challenge lies in performing color-based segmentation on the 3D model to highlight subtle differences, which signals potential pest or structural issues. We'll show you the raw footage, the GPS tracking data we fuse, and explain how this analysis is designed to generate the quantitative metrics needed for future deep learning risk-prediction models.