finapp cosmic ray neutron sensing Scaling up the FINAPP Cosmic Ray Neutron Sensing probe.

Summary

The water present in the soil, in the biomass and in the snow represents extremely sensitive data for various sectors. Monitoring soil moisture is crucial in agriculture to irrigate efficiently, save water and costs, and obtain a healthier and more abundant harvest. The snow water equivalent (water content in the snow pack) is a crucial parameter for water availability forecasting for spring/summer. Finapp’s Cosmic Ray Neutron Sensing (CRNS) probes are novel, next-generation, water-content estimators with a broad range of applications. They detect the neutrons generated from the interaction of cosmic rays with the Earth atmosphere and water surfaces, and from those measurements, they estimate the water content. All probes are connected to an AI-based, IoT cloud that provides the data in real-time via a user interface, and estimates specific factors for each of the applications in the different industries (e.g., plants/crops health, fire risk).

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More information & hyperlinks

Web resources:	https://cordis.europa.eu/project/id/190124200
Start date:	01-08-2023
End date:	31-07-2025
Total budget - Public funding:	2 969 246,25 Euro - 2 078 472,00 Euro

Cordis data

Original description

The water present in the soil, in the biomass and in the snow represents extremely sensitive data for various sectors. Monitoring soil moisture is crucial in agriculture to irrigate efficiently, save water and costs, and obtain a healthier and more abundant harvest. The snow water equivalent (water content in the snow pack) is a crucial parameter for water availability forecasting for spring/summer. Finapps Cosmic Ray Neutron Sensing (CRNS) probes are novel, next-generation, water-content estimators with a broad range of applications. They detect the neutrons generated from the interaction of cosmic rays with the Earth atmosphere and water surfaces, and from those measurements, they estimate the water content. All probes are connected to an AI-based, IoT cloud that provides the data in real-time via a user interface, and estimates specific factors for each of the applications in the different industries (e.g., plants/crops health, fire risk).