Successive reforms in agricultural policies have recently created an enabling environment for development and implementation of stateof-the-art, environmentally friendly farming strategies. This permits farmers to intensify production and manage local environment which is crucial for sustainable development of agricultural sector. This paper proposes a wireless sensor network architecture for real-time greenhouse environmental parameters monitoring to achieve scientific cultivation at a low management cost. The greenhouse monitoring system was designed by integrating DHT11 sensor, GSM module to a microcomputer board which is Arduino microcontroller. A real-time observation, monitoring and communication station was built using an android phone. Sensor data are received in near realtime through wireless communication network for analysis and control of targeted area. The proposed model was built and tested. The results obtained shows that automated monitoring of greenhouse farming is promising for enhanced agricultural production.
Internet of Things is an amplification of existing internet facility to provide communication, connection and internetworking amongst several devices and physical objects also identified as "Things". The recent explosion in urbanization over the past few years has necessitated the need for sustainable, efficient, and smart solutions for monitoring energy consumption and management. The conventional domestic energy consumption monitoring systems are incapacitated to automatically monitor, bill and manage energy consumption of IoT homes. Hence, to address this shortcoming, this paper presents an IoT based energy consumption monitoring and controlling device using Atmega328 Microcontroller. The proposed system is able to monitor, bill, control and monitor energy consumption of individual and all appliances. Furthermore, the system is able to compute the total energy consumption and billing which is automatically sent to consumers. The proposed system exhibits an average overall performance accuracy of about 95%. This shows that the proposed system is promising for energy consumption monitoring and management.
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