1. Challenge #5:
EXTREME WEATHER
Mentor of the challenge:
Tereza Šamanová

2. Why Extreme Weather?
Problems:
● Drought, floods, storms, extreme temperatures
=> fires, landslides, erosion, damages on plants and crop…
● Increasing frequence (due to changing climate)
Negative consequences:
● Devastating impacts on agriculture & forestry
● Impossibility of quick recovery (within 1 season)
● Economic damages to primary production
(agriculture) > goods production (food) > regional,
national and international markets

3. Why Extreme Weather is a challenge for us?
Challenges:
● Let‘s use more digital technologies! And let them help us to:
Prevent
Manage accute states
Deal with consequences
Help to eliminate the damages and protect the crop production

4. Where are we?
Tools we have to our initial disposal:
• Copernicus Emergency Management
• European Flood Awareness System
• European Drought Observatory
Technologies that we can use:
• Building apps and using new data models
• IoT
• AI self learning and predictively warning systems
• (In the next steps - Robots and autonomous CPS including drones)

5. Who has taken part in our team‘s activities?
• Tereza Šamanová (CzechInno, mentor) and Martin Palkovič (ECMWF) co-mentor
• 12 team members from 8 countries worldwide:
✔ Czech Republic
✔ Slovakia
✔ Burundi
✔ Nigeria
✔ Pakistan
✔ Rwanda
✔ Uganda
✔ Uzbekistan

6. How did we approach the challenge?
Our methodology:
1. Brainstorming on the first ideas
2. Common workspace
3. Summarization of the state-of-the-art, listing the ideas:
o Used technology and data model
o Current Technology Readiness Level
o Appropriateness of the proposed solutions to the current problems of the Czech and
Slovak agriculture and horticulture
4. Comments and recommendations
5. Data update
6. Final discussion, validation, brainstormed outputs for future steps and further
development

7. What is our main outcome?
Proposed System of smart growth and crop protection reflecting the current
climate development and weather forecasts
Draft of complex system using following elements:
1. Analytical app using the data from CEMS, CAMS and C3S
2. Sensors monitoring on the long-term basis (1 and more agricultural season/s) the individual
conditions of the respective land (agricultural land and forest stands)
3. Analytical app summarizing the history of the crop/trees planting on the land and the
harvest results in the last 3 years
4. Informative app recommending, based on the aforementioned data, the appropriate crop
and trees protection on the:
✔ Long term basis (predictive recommendation for 1 and more season in advance)
✔ Mid-term basis (predictive preparations for possible natural events and weather conditions within 1
season)
✔ Short-term basis (predictive preparations for possible weather conditions within shorter periods
within 1 season, respecting the current phase of crop and trees growth basis)

8. What we have?
Within our challenge, we have collected, listed and classified the following elements:
• Multiple useful apps bult on CEMS, CAMS and
C3S and umbrella apps to the disposal of the
individual farmers and foresters
(Meteoblue…):
• individual sensors monitoring the current soil,
temperature, humidity, air pressure, grounds
and crop+trees status + studies for widening of
their potential:

9. Where should we go?
We have realized that, to successfully continue with development of the proposed System (of
smart growth and crop protection reflecting the current climate development and weather
forecast), we should further:
• create and experiment in practice the system of sensors monitoring the current soil,
grounds and crop+trees status, collect data from the sensors for at least 1 agricultural
season
• collect the data from individual farmers and develop an analytical app summarizing the
history of the crop/trees planting on the land and the harvest results in the last agricultural
seasons
• then continue with the creation of the complex app recommending to the farmers the
future usage of the grounds for planting of exact plants/trees and planning the resources,
personal and technological capacities to accommodate to future clime and weather
conditions at their lands

10. What are the main lessons learned?
• Further development of the topic within follow-up innovative experiment and further
investments (data collection, sensors implementation and experimentation, app
development) will be needed
• The team of Challenge #5 of the AgriHub CZ-SK INSPIRE Hackathon 2021 is motivated
enough to continue in the further development of the IE, within forthcoming agricultural
seasons mainly through:
o Collection of the relevant data from the farmers and foresters
o Testing of the complex of sensors, collecting the data and building the umbrella app
o Creating the complex app – the intended System of smart growth and crop protection
reflecting the current climate development and weather forecast

11. Will you support us in
our efforts?
Than we would like to
thank you in advance!
Tereza Šamanová
Mentor of the Challenge #5
CzechInno
samanova@czechinno.cz