Lesson 12 Internet Connected Agriculture (Irrigation) Monitoring Service

Transcription

1 Lesson 12 Internet Connected Agriculture (Irrigation) Monitoring Service 1

2 Agriculture (Irrigation) Monitoring Service Uses of soil moisture sensors Actuators for water channels, WSNs, LPWAN, access points, Two applications Gateway and cloud platform for smart Irrigation irrigation in crop fields Wine quality enhancing 2

3 Agriculture (Irrigation) Monitoring Service Uses sensors placed at three depths for monitoring of moisture in fruit plants such as vineyard or mango, and monitors evapo-transpiration (evaporation and transpiration) Measures and monitors actual absorption and irrigation water needs 3

4 Agriculture (Irrigation) Monitoring Service Each sensor board is in a waterproof cover Each communicates to an access point using ZigBee protocol. An array of sensor circuits forms a WSN. 4

5 Applets HTTP/ HTTPS Service Sensor embedde d devices 1,, m 6LowPA N/ IPv6 Sensor Interfaces WSNs access points Device and Gateway Domain Data adaptation layer Protocol Bindings Item Provider Time and location stamping service Small Cells/ ZigBee WLAN/ LPWAN Communication Database OSGi Framework Applications and Network Domain Cloud platform for Agriculture (irrigation) monitoring services Analytics Display boards Events, Messages and alerts Data Processing Parameters and alert Messages Applications/ Services Data visualisation Information reporting bots IFTTT Centralised Services Mobile Social Media Fig Data flow diagram Chapter-12 L012: for "Internet the WSNs of Things ", Raj based Kamal, monitoring services 5

6 Agriculture (Irrigation) Monitoring Service Steps Access point receives the data and transfers it to an associated gateway Data adapts at the gateway and then communicate to a cloud platform using LPWAN 6

7 Agriculture (Irrigation) Monitoring Service Steps The cloud platform may such as Nimbits, my.openhab, AWS or Bluemix. Analytics at the platform analyses the moisture data and communicate to the actuators of water irrigation channels as per the water needs and past historical data 7

8 Agriculture (Irrigation) Monitoring Service Measurements at the sensors at preset intervals and actuators activate at analysed required values of the intervals The platform uploads the programs to sensors and actuators circuitry and sets preset measurement intervals of T1 (say, 24 hour) each and the preset actuation interval of t2 (say, on 120 hour) 8

9 Agriculture (Irrigation) Monitoring Service Sensed moisture values when exceed preset thresholds then triggers the alarm An algorithm uploads and updates the programs for the gateways and nodes. Runs at the data-adaptation layer and finds the faulty or inaccessible moisture sensors at periodic intervals Open source SDK and IDE used for prototyping the monitoring system. 9

10 Smart Wine Quality Enhancing The sensors monitor the soil moisture and trunk diameter in vineyards The monitoring controls the sugar content in grapes and health of grapevines 10

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12 Summary We learnt Smart irrigation deploys sensors for moisture at a depth in the crop fields and actuators for watering channels 12

13 Summary We learnt Smart quality monitoring deploys sensors placed at three depths for monitoring of moisture in fruit plants such as vineyard or mango, and monitors evaporation and transpiration. Smart irrigation controls deficiencies in moisture levels above thresholds during a given crop-period 13

14 End of Lesson 12 on Internet Connected Agriculture (Irrigation) Monitoring Service 14