Sequence Number
2
Industry
Agriculture
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How 5G enabled
Monitor leakage using sensors (and AI-MV) across the whole chain and take actions where leakage is severe.
Data Flows
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Devices
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Install the sensors as a result of the value leakage results (see below) including delivery to mill.
Be ready to install a broad spectrum of sensors 5G and non-5G as well.
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Connectivity
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Equipment (time series) sensor data transmission
Information from storage facilities is also sent to Enterprise storage
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Edge Compute
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5G (real-time) collecting and actioning data to be exploited to see how it can save extra labour
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Cloud Compute & Storage
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Equipment data stored to train AI algorithms
All data stored in Enterprise storage
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Applications & Services
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AI (ML/MV) models to be developed to drive down value leakage
Focus on high to low value leakage priorities
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Inform Decision Makers
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Executing the agreed workflows should result in minimal need for human intervention
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Support Decision Making
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End of process
Application Logic
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Have a clear description of the activities across the whole chain: Activities should be taken here in its broadest sense: Whilst harvesting; transport in Plantation; Transport from Plantation to Mill.
Isolate the parts where value leakage seems to be considerable and focus on how this can be addressed using 5G-enabled Digital Services.
This will determine the sensors we need.
Description
Developing AI – ML/MV models to predict will take a number of iterations where accuracy of these models (predictions) will improve over time.
SME involvement working with data scientists is required to develop the models.
Both MV and ML models to be used.
Expected benefits
Improved crop handling process
Reduced crop loss from pre-emptive action
Improved efficiency through real-time monitoring via 5G