A Review of IoT Based Smart Farming Using CNN for Improving Agriculture Management

Agriculture is the main occupation in our country. Many people depend on agriculture. There are many factors that reduce production. To keep track of the essential nutrients we can monitor soil parameters. The matters that arise with the amount of nutrients present in the soil have to be identified. Food safety can be achieved with computer vision. We can find the presence of bacteria and other disease occurring in plants by monitoring the leaves. A framework for crop monitoring using sensors, Arduino Uno and Wifi can be made together with leaf disease detection. Analysis can be done using K means classifier and SVM. Soil moisture sensor detects the presence of water content in soil. Camera or Drone can be used to take pictures of crops and can be stored in cloud servers. The improvement of machine learning and Internet Of Things (IoT) gives solution for problems which farmers are facing in their daily life. This work reviews published articles in smart farming and suggest methods to extract features to detect leaf diseases along with smart farming.