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A prototype system addressing the critical public health need for prevention and protection against the Mosquito-Borne Diseases






SponsorProject Solution providerUser




Farmers, agri-cooperatives, agri-consultants, smart farming service providers, insurance organizations and companies, food & beverage companies, agricultural chemicals companies






  • Security & Safety
  • Health
  • Land
  • Atmosphere & climate change

We create and provide data solutions for the farmers and industries that farmers rely on. Farmers, agri-cooperatives, agri-consultants, smart farming service providers, insurance organizations and companies, food & beverage companies, CAP stakeholders (farmers and paying agencies), traders and trading companies are some of already engaged users or potential users/consumers.

Usage of alpha version of Agrowth in the current running cultivation period for the cotton in Greece from several users:

  1. Neuropublic - Gaia Epixirein | Agri-consultants
  2. Farmers Cooperative of Orchomenos
  3. Cotton Farsala | Farmers Cooperative
  4. Farmers Cooperative of Thessaly "THESgi"


Neuropublic - OchraVine Control                 


EarlY WArning System for Mosquito borne Diseases EYWA, developed in the context of EuroGEO is a niche state-of-the-art tool that distils EO data, advanced epidemiological and entomological modelling, and ML big data analytics.

The uniqueness of the system can be summarised in the following distinguishing features. It delivers an operational solution, suggesting day to day prevention and door-to-door mitigation actions, as well as targeted surveillance and mosquito control operations that, undoubtedly, lead to the minimization of the entomological risk and the aversion of human cases in thousands of villages where the system has been already implemented.

The technological innovation of the system builds upon the development of standards for efficient handling of multiple entomological, epidemiological data and ancillary geospatial data, along with advanced dynamic and data driven models, to extract knowledge on the dynamics of mosquitoes’ abundance and diseases’ transmission. It is a generic, transferable and validated solution in support of the Public Health Authorities and citizens.

The common denominator of the different models is the use of big Earth Observation data from Copernicus missions and Core Services. They reliably depict and inform on the dynamics in biodiversity, climatic effects, habitats and breeding sites. Hence, EYWA exploits European innovation and investments and leverages European Exploitation platforms empowered by cloud storage and processing capacities as DIAS.

The system is already operational in 10 regions in 5 European countries at a TRL 9.

Testimony from CottonFarsala about daily sowing map

“Several farmers went on with sowing their parcels even though the sowing maps indicated otherwise. The conditions of the short future were unfavorable and the farmers had to sow for a second time a couple of weeks later.”

Vaggelis Georgolopoulos - Agronomist | Cotton Farsala

  • "I need to know when is the best time for sowing”
  • “I need to know when to apply pix (plant growth regulator) on my cotton fields”
  • “I need to know my expected yield early in the year so I can take relevant action”
  • “I need to know the occurrence of an imminent extreme weather event and the appropriate action I should take given the growth stage of my cultivation”

The main challenge observed it to "monitor and provide effective, timely and frequent consultation over large agricultural areas.”


The benefits of the Agrowth platform are the following:

  • It estimates the current phenology stage of crop and the fuzzy transition of them in the course of time. → Producer/Farmer knows every time in what stage his/her crop is and he/she is able to take action.
  • It provides a heatmap for the sowing period of cotton which estimates daily the risk(high/medium/low) → Producer/Farmer has an indication about the right time of sowing, he/she is able to catch the possible sweet early window of April for cotton sowing.
  • It predicts the yield in kg/ha, weeks earlier from the harvest. → Producer/Farmer has a good estimation of yield weeks earlier.
  • It provides charts for the evolution of the vegetation indices NDVI, NDWI, PSRI and some crop specific indices. → Producer/Farmer has a good indication in order to monitor the vegetation health and the moisture of the crop.
  • It visualizes the max and min ambient temperatures per parcel and it interplays with risk.resagri.eu. →  Producer/Farmer has access to ResAgri’s detailed weather information in a 2km x 2km spatial resolution.


   

Learn more about the service: http://agrowth.beyond-eocenter.eu/

Learn more about e-shape: www.e-shape.eu

A question? Contact the Helpdesk: https://helpdesk.e-shape.eu

    





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