Real-Time Monitoring of Agricultural Land with Crop Prediction and Animal Intrusion Prevention using Internet of Things and Machine Learning at Edge
R. Nikhil, B. S. Anisha, Ramakanth Kumar P.
Abstract
Agriculture is considered as a foundation of life, since it is the primary source of food and other raw materials. It plays a crucial part in the country's economic development. Sadly, many of our farmers cultivate their land using the conventional methods. we should replace these obsolete techniques of farming with advanced techniques. The proposed system describes how the use of the IOT and ML techniques can be combined to make the irrigation smart. The proposed system saves time avoiding problems like constant vigilance over the field by using IOT devices, crop prediction helps the farmers to grow suitable crops depending on the soil parameters by the use of machine learning techniques and it also helps in prevention of the intruders like wild animals into the field. It also helps in water conservation by supplying the plants / field with minimal amount of water automatically through the help of sensors depending on the water requirements. and finally, SMS and Email notifications will be sent to the farmer mobile phone during the abnormal conditions of his farm. The proposed system can be used for taking edge decisions in real time.