Submitted by admin on Wed, 08/10/2022 - 14:21

Need for improvement of livestock monitoring

Sequence Number 8 Industry Agriculture Banner Need for improvement of livestock monitoring How 5G enabled

Collect data about location of livestock, detection of diseases, production (e.g. milk production) and other data to drive individual measures.

Data Flows
Title Devices Icon Devices Description
  • Personalised tags for identified livestock
  • Selection of types of tags will depend on data required
  • Tags will collect a broad spectrum of data
Title Connectivity Icon Connectivity Description
  • Sensor data is transmitted
Title Edge Compute Icon Edge Compute Description
  • 5G-enabled real-time feedback would be useful to alert issues (e.g. illness) of animals
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All edge data collected from the tags stored to train AI algorithms
  • All data is stored at Enterprise storage
Title Applications & Services Icon Applications & Services Description
  • AI (ML) models to be developed to detect changes to predict illness, e.g. temperature
  • AI (MV) could be used to understand movement and behavioural change
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Alert if any critical data changes
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Livestock tags will aim to collect a broad spectrum of data:
  • Location of livestock
  • Temperature
  • Any other information
  • Sensor data could be augmented to collect data about the status of the land (environment humidity, temperature, etc.)
  • Consider whether cameras/images (use of drones) could provide additional information.
Description
  • Data collected could be time critical to be processed (e.g. detecting illness), where edge computing is required. However, this can be adopted at a later stage.
  • Identify information that could be extrapolated based on the sensor data collected.
Description
  • Data needs to be studied to determine the ML models that could be developed. Assessments such as symptoms indicating illness that could be predicted by changes in data (e.g. temperature).
  • Joint effort between SME and data scientists is required for model development.
  • Consider how MV can help here as well and that will have an impact on sensors and data to be collected.
Expected benefits Key value created