Wireless Sensor Networks Based-Internet of Thing for Agro-Climatic Parameters Monitoring and Real-Time Data Acquisition
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Keywords

Agro-climatic parameters, ATmega2560, Climate variability, Cloud database, Data acquisition, Dashboard, Embedded technology, Greenhouse, Internet of thing, Security application.

How to Cite

Ajao, L. A., Agajo, J., Kolo, J. G., Maliki, D., & Adegboye, M. A. (2017). Wireless Sensor Networks Based-Internet of Thing for Agro-Climatic Parameters Monitoring and Real-Time Data Acquisition. Journal of Asian Scientific Research, 7(6), 240–252. https://doi.org/10.18488/journal.2.2017.76.240.252

Abstract

The recent advent of internet of things technology with incorporating wireless sensor devices for supervisory, monitoring and security application has necessitated further development of embedded technology, of course, ability to monitor environmental conditions of greenhouse, gardens and farmland is crucial to research for effective seed germination, rapid plant growth and maximizing food production, which is due to some effect ranging from climate variability, soil information and irrigation periods. This paper proposes a real-time data acquisition and monitoring system for effectively monitoring changed in agricultural and environmental parameters using (IEEE 802.11 b/g/n) Wi-Fi, wireless sensor system and Android Web Apps. It is more important and concerned in this research to proffer long way solution to the farmers, agronomist, meteorologist and others based on weather stations, climatic changes and soil conditions. The developed smart agro-climatic parameter monitoring system consists of ATmega2560 controller based measuring units which collects the value of wireless sensor nodes like temperature, humidity, soil moisture and soil pH. These units send their data to the base station (BS), where data are collected and delivered through wireless module to the cloud database using HTTP POST where incoming data are stored. With android Web application, will permit users to view and download a real-time agro-climatic parameters on the dashboard using HTTP GET.

https://doi.org/10.18488/journal.2.2017.76.240.252
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