Official implementation of GrapeSAM for grape cluster segmentation, berry localization, counting, and visual cluster closure estimation.
-
Updated
Jul 30, 2026 - Python
Official implementation of GrapeSAM for grape cluster segmentation, berry localization, counting, and visual cluster closure estimation.
AI-powered holistic vineyard advisor running on Raspberry Pi with Gemma 4
Things I've created to summarise the rules of board games I've played
A comprehensive wine knowledge benchmark for LLM evaluation
Detección de bayas de uva en imágenes RGB con estimación automática de visibilidad. Adaptación de CircleNet al dominio vitícola (EnIDI 2025, Lab. DHARMa - UTN FRM).
A mobile-first web app with 34+ professional winemaking calculators. Features multi-language support and a modern design.
End-to-end grapevine variety classifier: FastAPI endpoints for dataset upload, background training and inference; PyTorch transfer learning with swappable backbones and configurable augmentation
Karnott — independent third-party profile of a public API surface, by API Evangelist. Karnott is a French agricultural technology company based in Lille that builds connected tracking devices and a digital management platform for farms, equipment cooperatives (CUMA), agricultural contractors (ETA), and wine growers.
Grape sugar from a camera: what a vineyard robot can read
Predicting wine quality using deep learning on tabular weather and regional data. Modular PyTorch pipeline with Optuna optimization and full test coverage.
Autonomous rover for Downy Mildew prediction in vineyards | Edge AI + LoRa + IoRT | Precision Viticulture
Infection prediction modeling of Plasmopara viticola life cycle stages in vineyards using weather data. This project represents a revisited and customizable Python version of the models used by Agroscope for downy mildew infection forecasting.
To associate your repository with the viticulture topic, visit your repo's landing page and select "manage topics."