Fertilizer recommendation system for 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 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. The paper also concentrates on improving the yield of the coconut by monitoring pH and moisture level of the soil. Thus the IOT based smart agriculture in the coconut tree cultivation reduces the time and cost needed for the soil testing. It also gives periodical monitoring about the soil health. It will be very helpful for the agriculture community. Thereby the outcome of the paper will be supportive for effective agricultural practice in cultivation of coconut tree.