IoT use cases: Ground moisture

IoT for ground moisture monitoring

IoT has become a significant aid in optimizing ground moisture conditions for any large-scale organic cultivation. In addition, soil conditions are often fundamental data in Smart Agriculture, Smart green space or park management, or Smart golf courses.

By collecting data and viewing it in real-time through remote ground moisture sensors, farmers, greenkeepers, and landscape architects alike can make informed irrigation decisions. This technology allows users to realize the best results while also saving on unnecessary expenses or resources, optimizing their operations, and increasing their ROI.

anomaly detection by Sensative Machine Learning
The project will, with the help pf Machine Learning and AI algorithms, identify common sensor problems for the most interesting sensors in agriculture, including sensors for temperature, humidity, precipitation and wind in weather stations, sensors for soil temperature and humidity, etc. 


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