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Grove - Moisture Sensor

SKU C000166 Barcode 101020008 Show more
Original price €0
Original price €3,71 - Original price €3,71
Original price
Current price €3,71
€3,71 - €3,71
Current price €3,71
VAT included

This Moisture Sensor can be used to detect how moist soil.

Overview

This sensor is very simple to use, you insert in into the soil and read the data. With this sensor in the right project, your plants can let you know when it's time to water them.

Features:

  • Soil moisture sensor based on soil resistivity measurement
  • Easy to use
  • 2.0 cm X 6.0 cm grove module

Tech specs

 

Item

Condition

Min

Typical

Max

Unit

Voltage

-

3.3

-

5

V

Current

-

0

-

35

mA

Output Value

Sensor in dry soil

Sensor in humid soil

Sensor in water

0

300

700

-

300

700

950

-

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BLOG
Small, MKR WAN 1310-powered device monitors CO2 levels in classrooms
Small, MKR WAN 1310-powered device monitors CO2 levels in classrooms
February 17, 2023

Humans are animals and like all animals, we evolved in mostly outdoor conditions where the air is nice and fresh. But modern society keeps most of us indoors the vast majority of the time, which could have negative health effects. There are many potential hazards, including a lack of sunlight and psychological effects, but CO2 may pose a more tangible risk. To keep tabs on that risk within classrooms, a team from Polytech Sorbonne built this small CO2 monitor. This CO2 monitor performs two functions: it shows anyone nearby the CO2 levels in the area and it uploads that data over LoRaWAN to a central hub that can track the levels across many locations. A school could, for example, put one of these CO2 monitors in every classroom. An administrator could then see the CO2 levels in every room in real time, along with historical records. That would alert them to immediate dangers and to long term trends. At the heart of this CO2 monitor is an Arduino MKR WAN 1310 development board, which has built-in LoRa® connectivity. It uses a Seeed Studio Grove CO2, temperature, and humidity sensor to monitor local conditions. To keep power consumption to a minimum, the data displays on an e-ink screen and an Adafruit TPL5110 timer only wakes the device up every ten minutes for an update. Power comes from a lithium-ion battery pack, with a DFRobot solar charger topping up the juice. It uploads data through The Things Network to a PlatformIO web interface. An Edge Impulse machine learning model detects anomalies, so it can sound a warning even if nobody is watching. The enclosure is 3D-printable.

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