Automatic Irrigation System Based on Internet of Things for Crop Yield Prediction

For century's agriculture has been based on traditional methods, and when modern technology was introduced, it was only in modernizing the traditional equipment. But the scope for monitoring, automation and data analysis based on real time data acquisition from farms has not been much explored. When we explore this field it will also open up the scope for Internet of Things based automation in agriculture field. The main aim of this research paper will be designing and implementing smart automation system for farms alongside constantly analyzing and reporting real time data from the field. In this paper explain about the prototype design of microcontroller based intelligent irrigation system controller which will allow irrigation to take place from remote places where manual inspection is not needed. According to pH value of soil, a list of best suited crop is selected from all crops. Values of monitoring parameters are adjusted according to optimal condition required for particular crop.