The main objective of this project is to develop a Farm Field Monitoring System which will measure soil pH and suggest suitable as well as Demand crop to get better yield. This system will also predict the weather and intimate soil moisture levels to help the farmers to cultivate the proper crop and monitor their own Land. This project will give the whole data about the farm cultivation. With help of this project farmers gets much relief in farm cultivation and the growth of crops will be monitored continuously. With the sensed pH value best Suitable Crops for the corresponding farm field are predicted using predefined dataset and Demand crop will be sorted from those crops and with the sensed temperature and humidity values Weather in the farm field is also Intimated in three levels as “Normal Weather”, “Chances of Rain” and “Too hot”. Soil Moisture Level is also measured with moisture sensor and converted into three levels as Low, Medium and High. The validated data are sent to the cloud using IOT (Internet of Things) module and Intimated to the farmer using customized Android Application, including the time at when it was performed. If the soil Moisture level is indicated as Low or High, using Customized android application the Pumping Motor connected to the system can be turned ON or OFF from anywhere in the world using Internet.
Agriculture, Soil Properties, Machine Learning, Android Application, IoT, pH, Weather Prediction, Soil Moisture
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