Skip to content

    Your cart is empty

    Time to spark some excitement 🛒⚡

Taxes and shipping calculated at checkout
Subtotal €0,00

Arduino Edge Control

SKU AKX00034 Barcode 7630049203044 Show more
Original price €0
Original price €245,87 - Original price €245,87
Original price
Current price €245,87
€245,87 - €245,87
Current price €245,87
VAT included

A remote monitoring and control solution, optimized for outdoor environments.
Collect real-time data from smart sensors and leverage AI on the edge.

Overview

It 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 (or third-party services) 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.

The Arduino Edge Control is capable of connecting sensors and drive actuators like latching valves (common in agriculture). Moreover, 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, minimising 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 labour.
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.

  • Mushroom Cultivation

Mushrooms are notorious for requiring the perfect temperature and humidity conditions to sustain spore growth, while also preventing competing fungi from growing. Thanks to the numerous watermark sensors, output ports and connectivity options available on the Arduino Edge Control, this precision farming can be achieved on an unprecedented level.


Tech specs

Microcontroller nRF52840 (64 MHz 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 drivers
Relays 4x 60V/2.5A galvanically isolated solid state relays
Analog Input 4x 4-20mA inputs
8x 0-5V analog inputs
16x hydrostatic watermark sensor input
Terminal Block Connectors 6x 18 pin plug in terminal block connectors
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
SD Card Interface for SD Card connector (through expansion port only)
Connectivity

Bluetooth
Wifi*
3G*NB-IoT*
LoRaWAN®*

* Requires Arduino MKR board
Peripherals Full-speed 12 Mbps USB
Arm CryptoCell CC310 security subsystem
QSPI/SPI/TWI/I²S/PDM/QDEC
High speed 32 MHz SPI
Quad SPI interface 32 MHz
12-bit 200 ksps ADC
128 bit AES/ECB/CCM/AAR co-processor
Operational Temperature -40° C to +85° C (-40° F to 185°F)
Length 104 mm
Width 86 mm

Conformities

The following Declarations of Conformities have been granted for this board:
RCM
RoHS
CE
FCC
UKCA
REACH
WEEE
For any further information about our certifications please visit docs.arduino.cc/certifications

Resources for Safety and Products

Manufacturer Information

The production information includes the address and related details of the product manufacturer.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/ 

Responsible Person in the EU

An EU-based economic operator who ensures the product's compliance with the required regulations.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc

 

Documentation

Study how the Arduino Edge Controls works using following files:

SCHEMATICS IN .PDF DATASHEET IN .PDF

 

Pinout Diagram

Download the full pinout diagram as PDF here.

Get Inspired

PROJECT HUB
Smelling Fresh, Feeling Fresh!
Smelling Fresh, Feeling Fresh!
Project Tutorial by robotasticdc

Use an Arduino Nicla Sense ME to see if you need to freshen up after a workout

read more
BLOG
Detecting HVAC failures early with an Arduino Nicla Sense ME and edge ML
Detecting HVAC failures early with an Arduino Nicla Sense ME and edge ML
April 4, 2024

Having constant, reliable access to a working HVAC system is vital for our way of living, as they provide a steady supply of fresh, conditioned air. In an effort to decrease downtime and maintenance costs from failures, Yunior González and Danelis Guillan have developed a prototype device that aims to leverage edge machine learning to predict issues before they occur. The duo went with a Nicla Sense ME due to its onboard accelerometer, and after collecting many readings from each of the three axes at a 10Hz sampling rate, they imported the data into Edge Impulse to create the model. This time, rather than using a classifier, they utilized a K-means clustering algorithm — which is great at detecting anomalous readings, such as a motor spinning erratically, compared to a steady baseline. Once the Nicla Sense ME had detected an anomaly, it needed a way to send this data somewhere else and generate an alert. González and Guillan's setup accomplishes the goal by connecting a Microchip AVR-IoT Cellular Mini board to the Sense ME along with a screen, and upon receiving a digital signal from the Sense ME, the AVR-IoT Cellular Mini logs a failure in an Azure Cosmos DB instance where it can be viewed later on a web app. To read more about this preventative maintenance project, you can read the pair’s write-up here on Hackster.io.

read more

Inspired by your shopping trends

  • Arduino Edge Control Enclosure Kit

    Designed for industrial and smart agriculture applications, the Arduino Edge Control Enclosure Kit is the perfect companion for Arduino Edge Control. It provides the module with a sturdy case that ...

  • Machine Vision Bundle

    The Arduino Portenta Vision Shield is a production-ready expansion for the powerful Arduino Portenta H7. It adds a low-power camera, two microphones, and connectivity; everything you need for the r...

  • Mini solar cell 2V 200mA

    A small polycrystalline photovoltaic cell, ideal for conducting experiments with solar energy or LED applications.

  • Arduino Pro 4G Module EMEA

    The cutting-edge Arduino Pro 4G Module allows you to expand your connectivity capabilities to unlock the full potential of your projects – without changing your Portenta board. Powered by a robust ...

Compare products

0 of 3 items selected

Select first item to compare

Select second item to compare

Select third item to compare

Compare