The SWAMP project develops IoT-based methods for smart water management in precision irrigation. It aims to develop these methods, address climate change challenges by using water and energy efficiently, and maximize crop yields. The project will pilot the approaches in Europe and Brazil, with objectives of automating platforms, integrating sensors, and validating new business models for smart water management.

1. Project funded
by the 4th EU-
BR joint call in
ICT
swamp-project.org

2. Consortium
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Unibo

3. The SWAMP Project
The SWAMP project develops IoT
based methods and approaches for
smart water management in
precision irrigation domain, and
pilots them in Italy, Spain, and Brazil
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4. SWAMP Objectives
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To develop IoT based methods and approaches
for smart water management in precision irrigation
To address to the climate change challenges by
using water and energy more efficiently
To maximize the yield and quality of crop with
given water
To pilot the approaches: two pilots in Europe and
two pilots in Brazil

5. SWAMP Challenges
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Automating advanced platforms and integrating different technologies
and solutions
Reducing effort in software development exploiting IoT, big data, cloud
and AI
Integrating heterogeneous sensors (also drones) for precision
irrigation
Proposing, testing and validating new business models
Providing flexibility and adaptability to different contexts and locations

6. Progress Beyond of the State of the Art
• Smart water management platforms for precision
farming
• IoT integration/ deployment in smart water management
• Autonomous drones for communication and sensing
• Precision irrigation systems exploiting IoT and data
analytics
• Water management using IoT and data analytics
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7. Innovation
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Market
 Offering of new technologies for irrigation
 Reduction of inefficiencies and increase in productivity
 New business models for smart water management
Research
 Integration of various technologies in a single adaptable platform
 Development of smart algorithms for irrigation
 Effective use of drones in irrigation
 Exploration of new opportunities in irrigation management

8. Target Audience
 Developers of IoT-based systems for agriculture
 Vendors of IoT solutions (also drones)
 Farmers
 Irrigation water distributors
 Government Policy Makers
 Scientific Community
Target Audience
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9. Smart Irrigation System – SWAMP View
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10. SWAMP Pilots
• Open canal based water distribution system at Po river in Reggio Emilia, Italy
• Different irrigation systems (surface, sprinklers, drip) and crops (grapes, pears, pumpkins, etc.)
• Goals: reduce water waste and energy used in pumps by advanced management practices, and to optimise
the irrigation by monitoring the water balance at fields
• Key challenge: optimize water distribution to increase usage of water passing along the canals
Pilot: Emilia-Romagna / CBEC (Italy)
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11. • Farm in the south of Spain: lettuce, endive, spinach, herbs and baby leaf
• Serious water scarcity area with very limited water resources
• Goals: maximise the yield per water by monitoring the plants and water balance
• Key Challenge: reduce water usage in irrigation
SWAMP PilotsPilot: Cartagena / Intercrop (Spain)
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12. SWAMP Pilots
• Area within 4 Brazilian states: Maranhão, Tocantins, Piauí, Bahia: irrigated agricultural frontier
• Soybeans, corn, cotton production using variable rate irrigation with center pivots
• Objectives: production highly affected by drought and expansion depends on technologies that improve
operating costs and promote sustainability
• Key Challenge: reduce energy consumption
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Pilot: MATOPIBA (Brazil)

13. SWAMP Pilots
• Guaspari Winery: growing areas in altitude ranges between 800 m and 1,300 m
• Municipality of Espírito Santo do Pinhal (state of São Paulo) in the Mantiqueira Mountain Range
• Goal: perform automatic measuring of soil water content at different soil depths and in several vineyards
and to provide quick and accurate irrigation management information
• Key Challenge: improve quality of grapes and wine
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Pilot: Guaspari(Brazil)

14. IoT
Comm.
Smart
Decisions
SWAMP Fog
Internet
Farm #1Farm #2
Farm #3 Farm #4
Base Station
Irrigation
Models
Analytics
Parameter Tuning
Water Distribution
Optimizations
Farm #1
Farm #2 Farm #3 Farm #4
Scenario: Efficient Water Distribution (Italy)
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Scenario: Efficient Water Usage (Spain)
IoT
Comm.
Smart
Decisions
SWAMP Fog
(real-time processing)
Irrigation
Models
Internet
SWAMP Cloud
Manage
r
Manage
r
Smart
Algorithm
s
(Analytics)
Parameter Tuning
Farmer
FarmerSpinach Crop
Lettuce Crop
Water
Reservoir
Crop Yield Models
Meteorological data
Base
Station
Meteorological data

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Scenario: Efficient Energy Usage (Brazil)

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Scenario: Improved wine quality (Brazil)
800 m farm
1,300 m farm IoT
Comm.
Smart
Decisions
SWAMP Fog
(real-time processing)
Irrigation
Models
Internet
SWAMP Cloud
Manager
Agricultural
Production
Historical Data
Manager
Smart
Algorithms
(Analytics)
Parameter Tuning
Farmer
Farmer
Crop Yield Models
Meteorological data
Meteorological data
Base
Station

18. Preliminary Platform Architecture
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19. SWAMP Architecture: Context View
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20. Soil Probe
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21. Soil Probe
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22. SWAMP Website
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23. SWAMP Twitter
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24. SWAMP ResearchGate
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25. SWAMP YouTube
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26. Project funded
by the 4th EU-
BR joint call in
ICT
swamp-project.org