MEASURING MACRO NUTRIENTS OF THE SOIL FOR SMART AGRICULTURE IN COCONUT CULTIVATION

This paper explores the prospective of Internet Of Things (IOT) in the area of agriculture, aspired at the coconut tree cultivation. Smart agriculture replaces the traditional mechanism. In this paper multi model data collection and hardware setup system is proposed. It collects multiple environmental data such as macro-nutrients (Nitrogen (N), Potassium (P) and Phosphorus (K)), pH value and moisture level of the soil with the help of wireless sensor motes. Once motes collect the information from the soil, it transmits its data to the data collection centre with the help of energy efficient data forwarding algorithm. The collected information is fed into the dedicated classifier for diagnosing the coconut tree deficiency precisely. Thus the IOT based smart agriculture in the coconut tree cultivation reduces the time and cost needed for the soil testing.