Edge Control Remote Monitoring

Arduino’s remote monitoring improves crop quality and reduces human effort/error by automating processes like irrigation and fertilization

Image of Arduino’s Edge Control Remote MonitoringArduino’s edge control remote monitoring board can be positioned anywhere and is suitable for precision farming, smart agriculture, and other applications requiring intelligent control in remote locations. Power can be supplied either via solar panel or DC input.

Applications using the edge control board can be controlled remotely through the Arduino Cloud (or third-party services) using a choice of connectivity options suitable to the location. The edge control features built-in Bluetooth®, and its connectivity can be expanded with 2G/3G/CatM1/NB-IoT modems, LoRa®, Sigfox, and Wi-Fi by adding any one of the MKR boards. Edge control remote monitoring can connect sensors and drive actuators like latching valves (common in agriculture). It has the capability of providing real-time monitoring over the entire process, reducing production-related risks.

The remote monitoring board is suited to smart agriculture, and the sensors can collect real-time data such as weather conditions, soil quality, crop growth, and more. Once sent to the Arduino Cloud, the data value chain becomes valuable analytics that supports business processes at various levels (e.g., crop yield, equipment efficiency, staff performance, and others). The remote monitoring board can improve crop quality and reduce human effort/error by automating processes like irrigation, fertilization, or pest control.

  • I/O
    • 6x edge-sensitive wake-up pins
    • 16x hydrostatic watermark sensor inputs
    • 8x 0 V to 5 V analog inputs
    • 4x 4 mA to 20 mA inputs
    • 8x latching relay command outputs with drivers
    • 8x latching relay command outputs without drivers
    • 4x 60 V/2.5 A galvanically isolated solid-state relays (SSR)
    • 6x 18-pin plug-in terminal block connectors
  • Memory
    • 1 MB onboard Flash memory
    • 2 MB onboard QSPI Flash memory
    • SD card slot
  • Operating temperature: -40°C to +85°C (-40°F to +185°F)
  • Processor
    • 64 MHz Arm® Cortex®-M4F (with FPU)
  • Connectivity (*requires Arduino MKR board)
    • Bluetooth
    • Wi-Fi*
    • 3G*
    • NB-IoT*
    • LoRaWAN®*
  • Power
    • Low power (up to 34 months on a 12 V/5 Ah battery)
    • 12 V acid/lead battery supply recharged via solar panels
    • Lithium battery backup
  • Weight: 67 g
  • Dimensions: 86 mm x 104 mm
  • Precision farming and process automation
  • Improved yield and lower production risks
  • Real-time and historical data
  • Monitors environmental conditions
  • Can be powered by solar panels
  • Easy installation
  • Connect easily with sensors/devices
  • Operates in high and low temperatures
  • Choice of connectivity types
  • Supports TensorFlow Lite micro for tiny machine learning applications
  • Precision farming
  • Smart agriculture
  • Smart irrigation systems
  • Automated greenhouses
  • Hydroponics/aquaponics
  • Mushroom cultivation

Edge Control Remote Monitoring

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Published: 2021-10-14