Weenat has developed an integration that allows you to retrieve and use your weather station data on the various platforms (Abelio, MesParcelles, Prediview, Xarvio...) that use Arvalis' Miléos and Prévi-LIS models.
This integration allows you to create a "weather station" for Arvalis models. It is a required preliminary step in order to use the PRÉVI-LIS or MILÉOS models on a third-party platform (other than Weenat or Arvalis). These models are not available in Weenat but on another platform you may be using (Abelio, MesParcelles, Prediview, Xarvio). You do not need to do this to use IRRÉ-LIS.
PRÉVI-LIS helps optimize fungicide protection against the main diseases of winter cereals. The model anticipates the onset of diseases, alerts on risks, avoids unnecessary treatments and optimizes their scheduling.
MILÉOS is a decision-support tool dedicated to the management of potato diseases. It assesses the risk of disease development such as late blight. The tool provides risk indicators and optimizes treatments based on climatic conditions and the crop's development stage.
- Required metrics:
- Prévi-LIS: Rainfall
- Miléos: Rainfall, Temperature, Humidity
- Countries: France
- Crops:
- Prévi-LIS: Soft winter wheat, Durum wheat, Winter barley
- Miléos: Potato
- Website: https://www.arvalis.fr/
- Email: support.api@arvalis.fr
On the Weenat side
- Go to the plot on which you want to activate the integration
- Click on "Add an integration"
- Select "Arvalis models (PRÉVI-LIS or MILÉOS)"
- Click on "Activate the integration"
- Copy the code that appears and paste it into the third-party platform that asks you for a weather data source to use PRÉVI-LIS or MILÉOS.
On the third-party application side
Ask your contacts at Abelio, MesParcelles, Prediview, Xarvio... for the steps to follow to use the PRÉVI-LIS or MILÉOS models from Arvalis.