temperature_module
51 results for "temperature_module"
aisler 2 layer simpel
Lighting, temperature, and sensor contoller for a 3d printing enclosure using a Raspberry Pi and touch screen device
LED FAN CONTROLLER
Lighting, temperature, and sensor contoller for a 3d printing enclosure using a Raspberry Pi and touch screen device
test
Lighting, temperature, and sensor contoller for a 3d printing enclosure using a Raspberry Pi and touch screen device
Cap S2
i want to build a smart greenhouse agriculture system with actuators to maintain temperature, soil moisture, and light intensity for plant growth. why? first it is a school project, and I MUST da smart greenhouse that can make a suitable environment for the plant to grow, so I can plant new plants in my region and try them.
Stepper
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
Stepper
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
a
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
a
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
stepper
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
Stepper
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
pcb
A smart IoT-based water quality testing kit using ESP32, Raspberry Pi, and an ML model to predict bacterial contamination (% CFU in water samples). Detects pH, TDS, temperature, turbidity, and bacterial presence via optical sensors.
