The Arduino Edge Control can be positioned anywhere and is suitable for precision farming, smart agriculture, and other applications requiring intelligent control in remote locations. Power can be either supplied via solar panel or DC input.

Remotely control your application through the Arduino Cloud using a choice of connectivity options suitable to the location. The Arduino Edge Control features built-in Bluetooth and its connectivity can be expanded with 2G/3G/CatM1/NB-IoT modems, LoRa, Sigfox, and WiFi by adding anyone of the MKR boards also it has the capability to provide real-time monitoring over the entire process, thereby reducing production-related risks.

Particularly suited to smart agriculture, the sensors can collect real-time data such as weather conditions, soil quality, crop growth, amongst others. 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, etc.). The Arduino Edge Control has the capability to improve crop quality and reduce human effort/error by automating processes like irrigation, fertilization, or pest control.

Application Examples:

• Automated Greenhouses

Automatically manage the humidity and temperature to ensure the best environment for crop growth, minimizing carbon emissions and increasing economic yield. The inclusion of an Arduino MKR GPS Shield allows for optimum crop rotation planning and acquisition of geospatial data.

• Hydroponics/Aquaponics

Since hydroponics involves the growth of plants without soil, delicate care must be taken to maintain the conditions required for optimum growth. The Arduino Edge Control can be set up to control these conditions with minimal manual labor. The Arduino Edge Control can help match the even higher requirements of Aquaponics, by providing automated control over the internal process and reducing production risks.

Features:

1. Precision farming & process automation.
2. Improved yield & lower production risks.
3. Real-time & historical data.
4. Monitors environmental conditions.
5. Powerable by solar panels.
6. Easy installation.
7. Connect easily with sensors/devices.
8. Operates in high & low temperatures.
9. Choice of connectivity types.
10. Supports TensorFlow Lite micro for tiny machine learning applications.

Package Includes:

1 x Arduino Edge Control

Specifications :-

Microcontroller	nRF52840
Digital input	6 x edge-sensitive wake-up pins
Digital Output	8 x latching relay command outputs with drivers 8 x latching relay command outputs without drivers
Relays	4 x 60V/2.5A galvanically isolated solid-state relays
Analog input	4 x 4-20 mA inputs 8 x 0-5v analog inputs 16 x hydrostatic watermark sensor input
Terminal Block Connectors	6 x 18 pin plug-in terminal block connector
Power Supply	12 V Acid/Lead SLA Battery Supply (Recharged via solar panels)
Power Consumption	Low Power (up to 34 months on a 12v/5Ah battery) 200uA Sleep Current
Memory	1 MB onboard Flash memory 2 MB onboard QSPI Flash memory
Connectivity	Bluetooth Wifi 3G NB-IOT LoRaWAN
Peripherals	Full-speed 12 Mbps USB Arm cryptoCell CC310 security subsystem QSPI/SPI/TWI/PDM/QDEC High speed 32 MHz SPI Quad SPI interface 32 MHz 12-bit 200 ksps ADC
Operating Temperature Range (C)	-40 to 85
Length (mm)	104
Width (mm)	86