Objectives of the service
The objective of the developed solution is to help companies in the agricultural sector to combat weather and climate hazards. A good knowledge of these data will help them organize themselves better and reduce the loss of time, limit the consumption of pesticides and natural resources, improve yields and not unnecessarily expose human lives.
The developed tool therefore present reliable and quickly identifiable data, adapted to users since co-created. This interactive solution can be viewed and used directly from the production site.
Users and their needs
Now, only few countries offer high-resolution weather information to their population, through their National Meteorological and Hydrological Service (NMHS). In 2/3 of the countries, NMHSs do not have capacities to run high-resolution weather models on sophisticated computing facilities, fed by dense ground weather stations networks as well as earth observation satellite data, according to a study by the World Meteorological Organization. Like in Internet, there is a Weather Divide.
The users targeted by this project are agricultural companies and cooperatives. All over the world, agriculture is weather-sensitive and crops are therefore strongly impacted by climatic conditions. The new service will therefore be proposed in priority to the agriculture sector for:
- International Agriculture groups,
- Local large farm producers.
For both customer segments, the climate information should be reliable, accessible, and precise. They need a very practical user-tailored climate service that gives access to accurate weather indicators easily available and easily deployable.
The cooperatives want to have a better understanding and management of their field activities and improve significantly their yield by using high resolution weather service.
Global companies on the other hand want to improve the sales of products and the customers satisfaction.
Service/ system concept
The solution, offered via a dashboard, allows different users to quickly access weather information to inform their decisions. The dashboard will propose the visualization of different indicators (disease risk, efficient rainfall...) in the form of maps or graphs but also a whole vision on historical data to analyse past events.
The system is based on the WeatherForce collaborative platform, where data from IOT stations, Earth Observation satellites and various meteorological models, including a high-resolution model, AROME, will be combined.
Space Added Value
The project will use various assets, from Meteosat for rain precipitation (nowcasting), from Sentinel and Aeolus to improve weather prediction a posteriori (machine learning and forecast verification), since targeted areas may be poorly covered by ground weather stations data. Many satellite images are unused because they contain clouds. This useless data for satellite operators becomes useful information for our forecasting activities.
ACP, a Peruvian cooperative which produce blueberries, avocados, grapes, and asparagus, is our pilot user for the WIS project and will help us to develop a suitable solution to address the agriculture sector by co-creating a specific tool. The two workshops allowed us to determine the user needs and requirements and start thinking of the solution. The Requirements Document, identifying all the needs and translating them into system requirements was submitted during the Baseline Design Review.
The next step will be the technical assessment by our local partner, IOTLAB, and the drafting of the technical constraints of the tool.
Because of the health situation worldwide the on-site missions have been cancelled and the workshops had to be held remotely.