Agrio

Saillog digitizes crop protection by leveraging and deploying proprietary artificial intelligence and computer vision algorithms.

Our technology replaces inadequate and imprecise methods of crop protection with a sustainable approach for agriculture modernization. By enhancing response times to crop anomalies, dispatching warning alerts, and delivering precise agriculture input guidance, agriculture workers can receive immediate and controlled information for reducing pre-harvest waste.

Saillog’s system aggregates data through the use of satellites and other remote sensing devices, and its smartphone app called Agrio. The widespread and easy distribution of Agrio allows us to crowdsource the data collection on the ground, and provide us with the unprecedented ability to accurately label remote sensing data. As a result, we are able to provide highly-localized machine learning-based predictions to our users.

Agrio users are notified when a problem is predicted or sensed in their fields. Users are presented with optimized scouting routes for them to upload images of plants with suspected pathologies. They receive diagnosis and treatment recommendations from our artificial intelligence system based on their images and the remote sensing data.

Saillog offers a plant protection management solution to large scale food producers such as farming cooperatives. In this context, we offer a private and secure workgroup within our app to manage crop protection tasks and foster collaboration within organizations.