Soil Moisture, Air temperature, humidity, and Motor on/off Monitoring data
Published: 24 July 2023| Version 1 | DOI: 10.17632/fpdwmm7nrb.1
Contributors:
, , Description
Automated irrigation systems are emerging methods for irrigation crops with the required amount of water, which conserves water wastage and avoids overirrigating crops. To train the automated irrigation method, we require the data set for better decision-making and controlling the irrigation system. The data set is collected from various sensors, for example, Capacitive soil moisture sensors and DHT-11 sensors. These data sets can be used to analyze and make decisions about controlling the automated irrigation system. Soil moisture, air temperature, and humidity are measured, and based on the soil moisture, the water motor's on/off status can be controlled.
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Institutions
Manipal University - Jaipur Campus
Categories
Agricultural Science, Machine Learning, Internet of Things, Precision Agriculture, Irrigation Management, Soil Moisture, Humidity, Air Temperature