Arduino has launched the Arduino Edge Control, a remote monitoring and control solution optimized for outdoor environments. In an interview with EE Times Europe, Fabio Violante, CEO at Arduino, explained how the new board can be applied in precision agriculture and all those applications where intelligence is a must. Power can be supplied by a solar cell or a classic DC power supply. In addition, the Arduino Edge Control can be used to deploy AI on the edge. It can be expanded with 2G/3G/CatM1/NB-IoT modems, Lora, Sigfox, and WiFi/Bluetooth connectivity and managed remotely via Arduino’s or third party’s clouds.
“The board has been designed to consume the least possible power and only keeps turned on the essential hardware related to external interrupts (for example, from watermark sensors) and RTC (for interval time wake up). Thanks to these solutions, the board can run for up to two years on a 12V/4Ah lead battery in a real application. In addition to the above, the board has a solar panel battery charger which allows for charging of 12V lead batteries, effectively extending the lifetime forever,” said Violante.
The Arduino Edge Control can connect a variety of external solutions such as sensors and actuators to control trigger valves, which are widely used in agriculture, as well as providing intelligent real-time data processing to reduce the risks associated with the various activities. Violante said the processor used in the Arduino Edge Control is the nRF52840, the same as on Nano BLE, and it is compatible with many libraries for AI such as TensorFlow micro.
The nRF52840 SoC is a member of the nRF52 Series SoC family. It offers memory availability for both Flash and RAM, which are prerequisites for such demanding applications. The nRF52840 is built around the 32-bit ARM Cortex-M4 CPU with floating point unit running at 64 MHz. The ARM TrustZone CryptoCell cryptographic unit is included on-chip and brings an extensive range of cryptographic options that execute highly efficiently independent of the CPU.
Real-time data can be about weather conditions, soil quality, and crop growth, all of which are valuable to the business of agriculture, offering control over crop efficiency and production. Violante said the Arduino Edge Control can increase crop quality and reduce human error by automating processes such as irrigation, fertilization or pest control.
“Given the professional nature of this board, we decided not to put sensors onboard that will suffer from the final setting used by the customers. Instead, we provided enough I/O to allow customers to connect their preferred external sensors, weather stations, etc.,” said Violante.
“During the development, we had different collaborations to validate and test the Edge Control. One of them is with a European company (Challenge Agriculture) that specializes in precision farming and watering. There are now different active projects ongoing for deploying the Edge Control in the field.”
Specific applications include automated greenhouses, i.e., managing humidity and temperature automatically to ensure the best environment for growing crops, minimizing carbon emissions and increasing economic yields. “This board is mainly targeted to stationary applications, therefore a default GPS module was deemed redundant as the position of the board can be recorded during installation. In any case we have a compatible GPS shield that can be plugged onto this board,” said Violante.
The inclusion of an Arduino MKR GPS Shield allows optimal crop rotation and acquisition of geospatial data. Another application is hydroponics, i.e., the growth of plants without soil that requires special care to maintain the necessary conditions for optimal growth. Another application that Arduino highlights is the growth of fungi that require perfect temperature and humidity. The numerous sensors and connectivity options offer a method of control that, thanks to open source programming, can reach great heights.
>> This article was originally published on our sister site, EE Times Europe.
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