Arduino AKX00034 Kit Edge Control Portenta
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Total (€ 217.65 / piece)
€ 217.65
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Only 5 Piece(s) available
Highlights & Details
Arduino Edge Control
- A remote monitoring and control solution optimized for outdoor use
- Capture real-time data from intelligent sensors and use them directly on site
Technical specifications
- nRF52840 Microcontrollers (64MHz Arm® Cortex-M4F)
- Digital input: 6x edge-sensitive wake-up pins
- Digital output: 8x latching relay command outputs with drivers / 8x latching relay command outputs without driver
- Relay: 4x 60V/2.5A galvanically isolated solid state relays
- Analogue inputs: 4x 4-20mA inputs / 8x 0-5V analogue inputs / 16x input for hydrostatic watermark sensor
- Terminal block connections: 6x 18-pin plug-in terminals
- Power supply: 12 V acid/lead SLA battery supply (recharging via solar cells)
- Power consumption: Low power consumption (up to 34 months with a 12V/5Ah battery), 200uA quiescent current
- Memory: 1 MB onboard flash memory / 2 MB integrated QSPI flash memory
- SD card interface for SD card connection (via expansion port only)
- Connectivity: Bluetooth, WiFi*, 3GNB-IoT*, LoRaWAN®* (* requires Arduino MKR board)
- Operating temperature -40° C to +85° C (-40° F to 185°F)
- Type
Arduino Portenta
- Series
Portenta
- Clock speed
64 MHz
- Memory type
FLASH
- Memory capacity
3 MB
- External ports
Screw terminal
- Wi-Fi
upgradable
- Output voltage
60 V
- Output current
2.5 A
- Product type
Kit
- MC layout
ARM Cortex-M4
- Suitable for
Arduino
- Interfaces
Bluetooth®
Manufacturer-specific
- Technology
32-bit MCU
- Tool type
Development kit
- UKCA
not relevant
Description
It can be placed anywhere and is suitable for precision farming, intelligent agriculture and other applications that require intelligent control in remote locations. Power can be supplied either via a solar panel or a DC input.
Remotely control your application from the Arduino cloud (or third-party services) using a range of connectivity options that are appropriate for your location. The Arduino Edge Control has built-in Bluetooth and its connectivity can be extended with 2G/3G/CatM1/NB-IoT modems, Lora®, Sigfox and WiFi by adding one of the MKR boards.
The Arduino Edge Control is able to connect sensors and actuators such as Locking valves (often in agriculture). It is also able to monitor the entire process in real time, reducing production-related risks.
The sensors, which are particularly suitable for intelligent agriculture, can record real-time data such as weather conditions, soil quality, plant growth and others. Once the data is sent to the Arduino cloud, the value chain becomes valuable analytics that support business processes at different levels (e.g. Crop yield, machine efficiency, employee performance, etc.). Arduino Edge Control is able to improve the quality of the crop and reduce human effort or errors by automating processes such as irrigation, fertilization or pest control.
Application example #1: Automated greenhouses
Automatic control of humidity and temperature to ensure the best environment for plant growth, minimize carbon emissions and increase economic returns. The integration of an Arduino MKR GPS shield enables optimal crop planning and the acquisition of geodata.
Application example #2: Hydroponics/Aquaponics
As the hydroculture grows the plants without soil, the conditions necessary for optimal growth must be carefully observed. Arduino Edge Control can be set up to control these conditions with minimal manual effort. Arduino Edge Control can help meet the even higher demands of Aquaponics by automating the internal process and reducing production risks.
Application example #3: Cultivation of mushrooms
Fungi are known to require perfect temperature and humidity conditions to maintain spore growth while preventing competing fungi from growing. Thanks to the numerous watermark sensors, output connections and connection options available on the Arduino Edge Control, this precision breeding can be achieved at an unprecedented level.
This text is machine translated.
Remotely control your application from the Arduino cloud (or third-party services) using a range of connectivity options that are appropriate for your location. The Arduino Edge Control has built-in Bluetooth and its connectivity can be extended with 2G/3G/CatM1/NB-IoT modems, Lora®, Sigfox and WiFi by adding one of the MKR boards.
The Arduino Edge Control is able to connect sensors and actuators such as Locking valves (often in agriculture). It is also able to monitor the entire process in real time, reducing production-related risks.
The sensors, which are particularly suitable for intelligent agriculture, can record real-time data such as weather conditions, soil quality, plant growth and others. Once the data is sent to the Arduino cloud, the value chain becomes valuable analytics that support business processes at different levels (e.g. Crop yield, machine efficiency, employee performance, etc.). Arduino Edge Control is able to improve the quality of the crop and reduce human effort or errors by automating processes such as irrigation, fertilization or pest control.
Application example #1: Automated greenhouses
Automatic control of humidity and temperature to ensure the best environment for plant growth, minimize carbon emissions and increase economic returns. The integration of an Arduino MKR GPS shield enables optimal crop planning and the acquisition of geodata.
Application example #2: Hydroponics/Aquaponics
As the hydroculture grows the plants without soil, the conditions necessary for optimal growth must be carefully observed. Arduino Edge Control can be set up to control these conditions with minimal manual effort. Arduino Edge Control can help meet the even higher demands of Aquaponics by automating the internal process and reducing production risks.
Application example #3: Cultivation of mushrooms
Fungi are known to require perfect temperature and humidity conditions to maintain spore growth while preventing competing fungi from growing. Thanks to the numerous watermark sensors, output connections and connection options available on the Arduino Edge Control, this precision breeding can be achieved at an unprecedented level.
This text is machine translated.