If your plants could talk, would they call out "Water me, Seymour?" Unfortunately (or fortunately, perhaps) plants have yet to develop the ability to speak. But thanks to the SparkFun gator:soil micro:bit Accessory Board, you can now measure the moisture level in soil without any vocal clamoring from your leafy lads. And, best of all--it is part of SparkFun's gator:bit series of alligator-clippable accessories, meaning you can easily interface it with the micro:bit or other microcontrollers!
The SparkFun Pulse Oximeter and Heart Rate Sensor is an I2C based biometric sensor, utilizing two chips from Maxim Integrated: the MAX32664 Biometric Sensor Hub and the MAX30101 Pulse Oximetry and Heart Rate Module. While the latter does all the sensing, the former is an incredibly small and fast Cortex M4 processor that handles all of the algorithmic calculations, digital filtering, pressure/position compensation, advanced R-wave detection, and automatic gain control. We've provided a Qwiic connector to easily connect to the I2C data lines but you will also need to connect to two additional lines. This board is very small, measuring at 1in x 0.5in (25.4mm x 12.7mm), which means it will fit nicely on your finger without all the bulk.
The SparkFun SGP30 Air Quality Sensor provides information on the quality of the air in your room or house by monitoring the volatile organic compounds around the sensor. The SGP30 Air Quality Sensor can return valid indoor air quality (IAQ) readings within 15 seconds of powering up! By comparison, typical air quality (IAQ) sensors are great for measuring CO2 and volatile organic compounds (VOCs) but some of them require a burn-in time of 48 hours and a 20-min start up time.
The SparkFun Photodetector Breakout is an updated version of the SparkFun Particle Sensor Breakout includes the MAX30101, a highly sensitive optical sensor and successor to the MAX30105 and MAX30102. The MAX30101 Breakout utilizes a photon detector to measure the amount of returning light that is reflected back from the LEDs. This is useful for various applications like particle (i.e. smoke) detection, proximity measurements, and even photoplethysmography. To make it even easier to use this breakout, all communication is enacted exclusively via I2C, utilizing our handy Qwiic system. However, we still have broken out 0.1" spaced pins in case you prefer to use a breadboard.
This is the BITalino ( r )evolution Board Kit, a (comparatively) low-cost biomedical data acquisition dev board that allows you to create projects using physiological sensors and tools. Each BITalino is presented in a "ProtoSnap style," enabling it to be programmed as a whole board or snapped apart for use in future projects. This dev board also has no shortage of programming APIs, which include Arduino, Python, Java, Android, iOS and more.
The MyoWare LED Shield is designed to pair with the MyoWare Muscle Sensor. The blue 10-segment bar graph shows the magnitude of the measured signal. The more muscle activation measured, the higher up the board the lit LEDs will go. With this shield you will be provided with a visual representation of the signals provided by the MyoWare Muscle Sensor and an on-board lithium polymer (LiPo) power source.
This is a simple-to-use compressed natural gas (CNG) sensor, suitable for sensing natural gas (composed of mostly Methane [CH4]) concentrations in the air. The MQ-4 can detect natural gas concentrations anywhere from 200 to 10000ppm.
This is a simple-to-use liquefied petroleum gas (LPG) sensor, suitable for sensing LPG (composed of mostly propane and butane) concentrations in the air. The MQ-6 can detect gas concentrations anywhere from 200 to 10000ppm.
Sharp's GP2Y1010AU0F is an optical air quality sensor, designed to sense dust particles. An infrared emitting diode and a phototransistor are diagonally arranged into this device, to allow it to detect the reflected light of dust in air. It is especially effective in detecting very fine particles like cigarette smoke, and is commonly used in air purifier systems.