Sensor Cloud Based Measurement to Management System for Precise Irrigation

Abstract

With the widespread popularity of low cost sensors, the data collection and processing on real-time from different geographical regions becomes easy. Agriculture is one such areas where sensors can be deployed to get real-time data of different regions. In agriculture field, temperature monitoring, soil moisture monitoring and plants growth monitoring can be obtained using sensor nodes. Obtaining the maximum growth in agricultural domain under optimized resources availability through Precise Irrigation (PI) is called as Precision Agriculture (PA). In this paper, we propose PI-Cloud, which is a sensorcloud based measurement to management (M2M) system, which can be used in an agricultural field to maintain the moisture level of soil above a predefined threshold in real-time. We used a cluster based hierarchical architecture of sensor-cloud, where deployed sensors, called as mobile sensor robot (MSR) can be recharged/replaced as and when required. In order to maintain the real-time monitoring of moisture level of soil, replacement mechanism of energy depleted MSR and cluster heads is also proposed. Management to maintain the PI is done using the control action matrix prepared from sensor cloud. Two novel parameters have been selected as, number of replacements required (NRR) for energy depleted MSR and first replacement analysis (FRA) are used for validation of proposed scheme. The results obtained show that with the availability of energy and recharging of MSR, PI can be done on real-time basis with PICloud based architecture system.