51 lines
1.6 KiB
Markdown
51 lines
1.6 KiB
Markdown
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# Smart agriculture
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## Present state and history
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- Urban smart agriculture
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- Evolution of agriculture
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- Smart agriculture: agriculture with ICT
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- Benefits
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- Informed decision
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- In depth analysis
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- All kinds of monitoring, supply chain, crop, water, environmental1
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- Crop monitoring: the systematic observation and assessment of crops
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throughout their growth cycle to improve productivity and make
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informed decisions
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- Water management: optimize crop yield while minimizing waste of water
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resource
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- Plant disease identification: helps in crop yield improvement
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- Precision agriculture: promise better yield, and less water and
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fertizers
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- Environment monitoring: schedule irrigation, and crop protection for
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bad weather
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- Data sources
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- Terrestial network
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- LAP layer
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- HAP layer
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- Sattleite layer
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- Using AI to automate and interpret data: ML, DL
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- Challenges:
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- Data security
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- Network
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- Device threats
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- Privacy
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## Summaey
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- Earth observations are time series data that offer intelligence to climate and
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agriculture to make these smart.
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- Rely on connected airborne platforms and surface based platforms
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- Climate study is connected with change detection
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- Hard to determine change agent
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- Smart agriculture: the most promising to benefit from Earth obervation
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- 7 areas:
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- Supply chain
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- Crop monitoring
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- Water management
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- Precision agriculture
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- Environment monitoring
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- Soil health monitoring
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- Livestock management
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- Generate big data, hard for manual use, but good for AI
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