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Soil Moisture and Atmosphere Components Detection System Using IoT and Machine Learning

Monitoring of soil is a rising thing which has the possibility to improve agricultural activities, grow efficiency and productivity. Soil has the basic parameters like temperature and moisture content through which we can characterize the soil types. Proper decision can be taken through soil type like the choices of crops sown. This paper presents the system that test the quality of soil and according to that predict the suitable crop type to be planted. Proposed model uses Node MCU ESP8266 as a microcontroller. Temperature sensor, rain sensor and moisture sensor are used to collect different parameters from the farm. ThingSpeak Cloud server which is an open cloud platform is used to store the data. Machine learning algorithm is used to predict the type of crop. The farmer gets the appropriate message helpful for crop production decision making.