Frost Forecast proposes a precision agriculture system that allows visualizing the climatic status of a crop, providing a detailed view of the state of a farm. It uses multiple sources of climate data as inputs for a machine learning engine, which will provide early frost warnings so that farmers can focus on the control efforts.
This project, which is co-financed by Inria and Corfo, through its Crea y Valida instrument, had its kick-off last Friday, November 15, 2019, at the offices of Inria Chile. Part of the team that will be involved in this project met there: Nayat Sánchez Pi, CEO of Inria, who acts as project director; Luis Martí, Roudy Dagher and Alfonso Pola. Also participating in the kick-off -via videoconference- was Thomas Watteyne, researcher at the Inria Paris Centre in the AIO project-team who will work in collaboration with the Inria Chile team.
Frost Forecast will last approximately two years and aims to have a strong impact on agriculture at a national level by delivering a frost prediction system at a micro-predial level, which will allow SMEs, in this case farmers or agricultural technology providers to focus their efforts and reduce production losses due to frost.