Sensor Network Driven Water Management for Durian€¦ · Pest & Disease Control 3 Post-Harvest...
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Sensor Network Driven Water Management for Durian Nathalie Wuyts Forschungszentrum Jülich, Germany
Transcript of Sensor Network Driven Water Management for Durian€¦ · Pest & Disease Control 3 Post-Harvest...
Sensor Network Driven Water Management for Durian
Nathalie WuytsForschungszentrum Jülich, Germany
Forschungszentrum Jülich
Plant biomass production
• economic
• social
• environmental
market price
market continuity
Affordable production
costs – benefit
resource use efficiency
extreme climatic events
• drought
• high temperature
• tropical storms
rainfall and stored water do not cover the physiological
needs of plants to attain maximum yield
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Sustainable production
ReliableSupply
ChangingClimate
WaterShortages
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Farm management
Soil Preparation
Seeds & Planting Material
Pest & Disease Control
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Post-Harvest Storage &
Processing
Irrigation
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The SOIL – PLANT – ATMOSPHERE continuum
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Atmosphere
Plant
Soil
H2O
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The SOIL – PLANT – ATMOSPHERE continuum
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Atmosphere
Plant
Soil
H2O
physiological needs of plants are not the
same throughout the growing season
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IRRIGATION SYSTEM
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Atmosphere
Plant
Soil
H2O
Soil moisture sensor
Weather
stationestimate crop
evapotranspiration
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IRRIGATION SYSTEM
WIRELESS SENSOR NETWORK
• four main nodes: weather station, soil moisture sensor, irrigation valve control, controller
• irrigation scheduling system on CPU/MCU of the controller node
• data transfer to cloud database
• rechargeable batteries connected to solar panels
PLANT SENSORS
• improve irrigation scheduling based on sensors that measure plant physiological state
• non-destructive, continuous plant-based measurements in parallel with weather station and soil sensor measurements
• changes in the plant physiological state in response to the environment and its development during the growing season
7! VISIT THE NECTEC BOOTH AT THE EXHIBITION !
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PLANT SENSORS
PSYCHROMETER
measure plant water potential non-destructively throughout growing season
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The SOIL – PLANT – ATMOSPHERE continuum
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Atmosphere
Plant
Soil
H2O
Ψw – water potential
Ψw soil -0.01 MPaΨw root -0.1 MPa
Ψw stem -1 MPa
Ψw leaf -10 MPa
Ψw atmosphere -100 MPa
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PLANT SENSORS
PSYCHROMETER
measure plant water potential non-destructively throughout growing season
THERMAL IMAGING
measure leaf temperature as a proxy for plant transpiration
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The SOIL – PLANT – ATMOSPHERE continuum
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Atmosphere
Plant
Soil
H2O
Forschungszentrum Jülich
The SOIL – PLANT – ATMOSPHERE continuum
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Atmosphere
Plant
Soil
H2O
X X XX
leaf temperature
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PLANT SENSORS
PSYCHROMETER
measure plant water potential non-destructively throughout growing season
THERMAL IMAGING
measure leaf temperature as a proxy for plant transpiration
MODEL PLANT WATER USE BEHAVIOUR
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•plant water potential•aboveground environment •soil moisture content•thermal imaging data
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PLANT IRRIGATION SYSTEM
New irrigation scheduling software based on plant sensor data in combination with environment sensor data.
Sensors are embedded in the wireless sensor network (WSN).
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INTERNET
WSN
database
web browser
smartphone app
irrigation timing & quantity
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BENEFITS FOR THE FARMER & THE ENVIRONMENT
Durian production is big-business!
AID IN DECISION-MAKING ON IRRIGATION
• increased water-use efficiency – water is a scarce and expensive resource
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• higher precision irrigation: timing and quantity of irrigation is determined according to needs of the plant
• uncertainty about requirements of plants throughout growing season is removed
• higher yields under improved cost-benefit
• more reliable production and achievement of targets
• access to IOT technology
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Project outcome
• Worst case: psychrometer installation on tree is required – farmer investment & handling
• Best case: thermal imaging via remote sensing together with weather data is sufficient
-> thermal imaging as a service
• Intermediate case: irrigation scheduling based on modelled plant water potential
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improved irrigation scheduling system input
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ACKNOWLEDGEMENTS
The research presented here is part of the project
‘IRRIGATION4.0 - Strengthening agriculture 4.0 technology in a Thailand-Myanmar-Germany collaboration: development of a plant-based irrigation platform’.
The project partners are:
• Dr. Teera Phatrapornnant, National Electronics and Computer Technology Center, National Science and Technology Development Agency, Bangkok, Thailand
• Dr. Nathalie Wuyts, IBG-2: Plant Sciences, Forschungszentrum Jülich, Jülich, Germany
• Prof. Dr. Khin Than Mya, Faculty of Computer Systems and Technologies, University of Computer Studies, Yangon, Myanmar
The project receives funding from the German Federal Ministry of Education and Research in the frame of the Southeast Asia-Europe Joint Funding Scheme for Research and
Innovation.
