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  • Home
  • Application Groups
    • Agriculture 4.0
    • Entertainment
    • Environmental Monitoring
    • Industrial Automation
    • Intelligent Transportation System
    • Nature Life
    • Public Safety
    • Smart Cities
    • Smart Energy
    • Smart Health & Wellness
    • Uncrewed Aerial Vehicles (UAV)
  • Devices
    • All Devices
  • Definitions
    • KPIs
    • Slice Types
    • References
  • Discussion

Applications

Agriculture Robotics

Agriculture Robotics are used in smart farming to collect high-resolution field data using ground-based or aerial based sensors which is collected into a central advisory unit. The data is interpreted and information is extracted to provide decisions and actions to the field robots. Agricultural field robots are used for tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting(identify ripe versus unripe plants): Some of the key agriculture robotics applications fit into the following sub-categories: – Field scouting and data collection – process of continuously monitoring the field to acquire information on the plant status, disease incidence, and infestations affecting crop growth. – Precision Weed Control and targeted spraying – Automated Crop Harvesting – Planting and Seeding

  • Use Case: Agriculture Robotics are used in smart farming to collect high-resolution field data using ground-based or aerial based sensors which is collected into a central advisory unit. The data is interpreted, and information is extracted to provide decisions and actions to the field robots. Agricultural field robots are used for tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting (identify ripe versus unripe plants):

    Some of the key agriculture robotics applications fit into the following sub-categories:
    - Field scouting and data collection - process of continuously monitoring the field to acquire information on the plant status, disease incidence, and infestations affecting crop growth.
    - Precision Weed Control and targeted spraying
    - Automated Crop Harvesting
    - Planting and Seeding

    Device(s)

    Camera types used on agrobots:
    - RGB cameras - extensively used in agricultural machine vision
    applications for fruit/plant detection, yield prediction, segmentation
    tasks, disease detection, ripeness detection, weed detection and insects' detection
    - Hyperspectral, thermal, or ultrasonic cameras - typically provide better results than conventional RGB color images
    - Stereoscopic cameras - provides 3D plant structure information (Dimension of crops (depth information, crop height, leaf shape, leaf area etc.))

    Critical factor is the camera’s resolution, which should be high enough to capture the details of the scene especially in the cases of insect and disease detection. [1]

    Efthimia Mavridou, Eleni Vrochidou, George A. Papakostas *, Theodore Pachidis and Vassilis G. Kaburlasos, “Machine vision Systems in Precision Agriculture for Crop Farming”, Journal of Imaging, 7 December, 2019.
    https://doi.org/10.3390/jimaging5120089

    KPIs

    E2E Latency: Best effort
    Jitter: Not Sensitive
    Data Rate: Low: < 10 Mbps
    Availability: Medium: 90 - 95%
    Criticality: Non critical
    Communication Direction: Two-way
    Common Communication Mode: Unicast
    Data Reporting Mode: Hybrid Driven
    Notes: Hybrid-Based
    Mobility (type/speed): Pedestrian
    Service Continuity: Not Required
    Device Autonomy (Power Constrained): Yes
    Connectivity Type: WAN - Cellular, LPWA, Satellite
    Priority Services (NS/EP): No (it would not)
    Guaranteed Service: GBR
    Security: Medium
    Lifespan: Long: More than 8 years
    Device Density: Low (<1000)
    Location Based Services: Very High Accuracy (less than 1M)
    Slice Type
    Slice Type: HMTC
    GPS for autonomous navigation in open-field cultivation environments Robotic data collection platform equipped with RADAR, liDAR, ultrasonic radar sensors, spectrometers, fluorometers.

    KPIs

    E2E Latency: Moderate: 10ms-100ms
    Jitter: Not Sensitive
    Data Rate: Very Low: <100kbps
    Availability: Medium: 90 - 95%
    Criticality: Non critical
    Communication Direction: Two-way
    Common Communication Mode: Unicast
    Data Reporting Mode: Hybrid Driven
    Mobility (type/speed): Pedestrian
    Service Continuity: Not Required
    Device Autonomy (Power Constrained): Yes
    Connectivity Type: WAN - Cellular, LPWA, Satellite
    Priority Services (NS/EP): No (it would not)
    Guaranteed Service: GBR
    Security: Medium
    Lifespan: Long: More than 8 years
    Device Density: Low (<1000)
    Location Based Services: Very High Accuracy (less than 1M)
    Slice Type
    Slice Type: HMTC
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