There are 1 repository under soil-moisture topic.
A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.
I2C based soil moisture sensor
Not your average Soil Moisture Sensor
Embedded systems using STM32 boards.
Digital (RS485 - based) soil moisture and temperature sensor
Compact and battery powered capacitive soil moisture sensor.
Thermal infrared image processing scripts, e.g. for FLIR Tau 2 camera.
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
Bluetooth Low Energy - based soil moisture sensor
Software for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded space. More information on SMAP-HydroBlocks at https://waterai.earth/smaphb/
Watering plants with an ESP8266!
Interactive figure and animation of 484 site data time series
CRITERIA 1D is a one-dimensional agro-hydrological model. It includes soil water fluxes, crop development and water needs, a GIS interface (CRITERIA GEO) for geographical simulations and tools to manage crop and soil parameters. The software is written in C++ using Qt libraries, so cross-platform building is possible (Windows, Linux, MacOS)
Hyperspectral Processing Scripts for the HydReSGeo Dataset
An application to monitor and display soil moisture content for drip irrigation.
MakeCode package for the SparkFun weather:bit board - beta
An Arduino based IoT system that monitor soil moisture and temperature using WiFi with a automated irrigation system using relay switch.
ATtiny13A Resistive Soil Sensor for Duck Lovers
This repository contains the PCB design files and sample Arduino code to interface the popular Watermark Irrometer 200SS soil moisture sensor and read the equivalent soil tension in Frequency.
Capacitive soil moisture sensor calibration with Arduino and Python
SOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of interest (i.e., gap-filling), analysis of generated fine-grained predictions, and visualization of both predictions and analyses.
Pipeline for the processing of Sentinel-2 data and ground truth in the CAOS-Lux project
Opening and visualizing a netCDF file in Python
Dual-Arrhenius and Michaelis-Menten model visualisation
Indoor environment monitoring on a Raspberry Pi with HomeKit integration. I²C, SPI, UART, GPIO, MQTT. Node.js, Python (and MicroPython!), Arduino, C, C++.
Arduino_Plant_Watering_System
Estimation of Rainy Season Calandar and Soil Water Balance for Agriculture