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Gravity: Analog Electrical Conductivity Sensor / Meter For Arduino

SKU TPX00041 Barcode 6959420902538 Show more
Original price €0
Original price €80,37 - Original price €80,37
Original price
Current price €80,37
€80,37 - €80,37
Current price €80,37
VAT included

Quickly build an electrical conductivity meter, plug and play!

Overview

DFRobot Gravity: analog electrical conductivity meter V2 is specially used to measure the electrical conductivity of an aqueous solution, and then to evaluate the water quality, which is often used in water culture, aquaculture, environmental water detection, and other fields. You may also check Liquid Sensor Selection Guide to get better familiar with our liquid sensor series. 

This ec meter product, as an upgraded version of the electrical conductivity meter V1, greatly improves the user experience and data precision. It supports 3~5v wide voltage input, and is compatible with 5V and 3.3V main control board; The output signal filtered by hardware has low jitters; The excitation source adopts AC signal, which effectively reduces the polarization effect, improves the precision, and prolongs the life of the probe; The software library uses two-point calibration method, and can automatically identify standard buffer solution, so simple and convenient.

With this product, the main control board (such as Arduino), and the software library, you can quickly build an electrical conductivity meter, plug, and play, no welding. DFRobot provides a variety of water quality sensor products, uniform size, and interface, not only meet the needs of various water quality testing but also suitable for the DIY of multi-parameter water quality tester.

Conductivity is the reciprocal of the resistance, which is related to the ability of the material to carry the current. In the liquid, the reciprocal of the resistance, the conductivity, is the measure of its ability to conduct electricity. Conductivity is an important parameter of water quality. It can reflect the extent of electrolytes present in water.

Tips:
In order to ensure measurement accuracy, it is strongly recommended to add a temperature sensor to measure the temperature and achieve automatic temperature compensation.

Features:

  • 3.0~5.0V wide voltage input
  • Hardware filtered output signal, low jitter
  • AC excitation source, effectively reduce polarization
  • Gravity connector and BNC connector, plug and play, no welding
  • Software library supports two-point calibration and automatically identifies standard buffer solution, integrates temperature compensation algorithm
  • Uniform size and connector, convenient for the design of mechanical structures

Applications:

  • Water quality monitoring.
  • Aquaculture.
  • Hydroponic & Aquaponic

Get Inspired

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MKR WAN 1310 IoT - operating at 0, 92mA
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Let’s connect at The Things Conference 2023
Let’s connect at The Things Conference 2023
September 13, 2023

It’s time to catch up on all things LoRaWAN® and low-power IoT! Our team is looking forward to returning to The Things Conference this year, joining all LoRa® key players in Amsterdam on September 21st-22nd. Our experts will be showcasing new products and applications relevant to the technology that is putting the “smart” in smart cities, smart agriculture, smart logistics, and more. Indeed, with IoT’s huge growth potential in both B2B and B2C applications, LoRaWAN® is stepping up as one of the technologies of the future. Already established as the low-power connectivity choice, according to The Things Network it is reaping the benefits of innovations that increase efficiency even further – and is poised to support ESG (environmental, social and governance) goals with reduced energy consumption and secure data transmission. LoRaWAN® novice, or expert? We’ve got you covered Whether you are just realizing the potential of LoRaWAN® or have been a fan of it since day one (like us!), we’ll have something for you to discover at our booth at The Things Conference: Looking for an entry-level option? The Arduino MKR WAN 1310 offers you the renowned versatility of the practical and cost-effective MKR family and adds LoRa® connectivity to projects requiring low power.Ready to take it up a notch? The solution for advanced applications requiring sturdy computational power is to boost Arduino Pro’s Portenta H7 module (in any of its three variants) with the capability to run embedded computer vision applications, connect wirelessly via LoRa® to the Arduino Cloud (or third-party infrastructure), and activate systems upon the detection of sound events. How? With the Portenta Vision Shield LoRa®, of course!Feel the need for high performance? Pair the Portenta Max Carrier with a Portenta X8 module to add LoRa® connectivity to your project, transforming your robust SOM into a single-board computer or reference design enabling edge AI for

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