Submitted by admin on Wed, 08/10/2022 - 14:56

Inefficient water use

Sequence Number 6 Industry Agriculture Banner Inefficient water use How 5G enabled

Collect data about water usage, type of crops, and other information across the plantation to provide the right level of irrigation to each crop area.

Data Flows
Title Devices Icon Devices Description
  • Sensors (fixed or on drones): measuring moisture levels of soil and humidity, rain levels, reservoir levels, etc.
Title Connectivity Icon Connectivity Description
  • All sensors will transmit data to Enterprise storage
Title Edge Compute Icon Edge Compute Description
  • Not time critical at present, however this is expected to change to real-time in the future
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All edge data collected stored to train AI algorithms
  • All data is stored at Enterprise storage
Title Applications & Services Icon Applications & Services Description
  • AI (ML) predicts future humidity levels and provides recommendation of irrigation required
  • Model requires refinement over time
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Reports to provide visibility as the model can operate as a closed loop
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Information of current soil moisture levels known through sensors at all critical locations.
  • Visibility includes at irrigation storage reservoirs where rainwater can be accumulated with sensors in place to measure the levels in these reservoirs.
  • Information on type of crops that are currently in each crop area across the plantation.
  • Additional information could be obtained through drones for aerial surveys, e.g. monitoring drought or flood situations.
Description
  • For AI (ML) modeling, additional information could be required:
  • Weather forecast information e.g. temperature; rain levels; etc.
  • Other water storage levels
  • Crop status
  • Identify how the results of the models could be used for prediction of floods and other insights.
  • Joint effort between SME and data scientists is required for model development.
Description
  • Based on the results of the AI model (predicted soil moisture levels), water supply and irrigation needs can be predicted; combination of rain and other water supply (where needed).
  • Large amounts of data are important as inputs to these ML models.
Expected benefits Key value created