IoT Based Multi-sensor Data Acquisition System for the Application of Smart Agriculture

In today’s world Internet-of-Things (IoT) is creating fascinating applications by providing the common platform for different domains. This paper proposes an IoT based Multi-Sensor Data Acquisition System to control, monitor and manage different devices together for the application of smart agriculture. The system is designed to measure some of the important parameters related to the crop yield such as soil moisture, temperature, relative humidity, and light intensity. It provides an automated irrigation to crop based on the data obtained from different sensors. In addition, the present system provides an added future for monitoring data and controlling the irrigation system in real-time without losing data during transmission. The irrigation system can be controlled from any location through a mobile phone in two ways one is automatic and the other one is manual control. Further, it is made to provide ease of operation and doesn’t require the knowledge of modern technology for the same. The developed system is very economical and it makes use of solar energy to increase the autonomy of embedded and its associated devices to provide perpetual operation. The aim of the system is to improve the crop yield by the effective use of natural resources.

[1]  Yunseop Kim,et al.  Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network , 2008, IEEE Transactions on Instrumentation and Measurement.

[2]  William Donnelly,et al.  Precision Farming: Sensor Analytics , 2015, IEEE Intelligent Systems.

[3]  Ping Zhu,et al.  The temperature humidity monitoring system of soil based on wireless sensor networks , 2011 .

[4]  Yu Feng,et al.  The study and application of the IOT technology in agriculture , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[5]  Saiyan Saiyod,et al.  Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm , 2014, 2014 IEEE Conference on Wireless Sensors (ICWiSE).

[6]  S. Dhanalakshmi,et al.  Regulation of water in agriculture field using Internet Of Things , 2015, 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR).

[7]  Mohanasankar Sivaprakasam,et al.  Design, development and clinical validation of a wrist-based optical heart rate monitor , 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[8]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.