moses akaaza - Profile on Academia.edu (original) (raw)

moses akaaza

Published author and researcher
Supervisors: Dr Juliana Ndunagu
Phone: +2348167657878
Address: Katampe, Abuja. Nigeria.

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Papers by moses akaaza

Research paper thumbnail of Development of a Wireless Sensor Network and IoT-based Smart Irrigation System

Applied and Environmental Soil Science

This study proposes a smart irrigation system (SIS) using the drip method, which was designed and... more This study proposes a smart irrigation system (SIS) using the drip method, which was designed and implemented using wireless sensor networks and an open-source Internet of Things (IoT) cloud computing platform (“Thingspeak.com”) for data collection, storing, data analytics, and visualization. The methodology incorporates the integration of hardware and software components to make irrigation decisions based on web resources like the weather forecast from “weather.com” and sensor values from soil samples. The data collected are then analyzed at the edge server and updated every 15 minutes. Based on the threshold value, the system starts pumping water or stops the irrigation process depending on the irrigation schedule. A web application was developed to display the result so that we could monitor and control the system using an android application edge or a web browser. Based on the data recorded and measured, the data are in comma-separated values (CSV) format and contain 143731 entr...

Research paper thumbnail of Development of a Wireless Sensor Network and IoT-based Smart Irrigation System

Applied and Environmental Soil Science

This study proposes a smart irrigation system (SIS) using the drip method, which was designed and... more This study proposes a smart irrigation system (SIS) using the drip method, which was designed and implemented using wireless sensor networks and an open-source Internet of Things (IoT) cloud computing platform (“Thingspeak.com”) for data collection, storing, data analytics, and visualization. The methodology incorporates the integration of hardware and software components to make irrigation decisions based on web resources like the weather forecast from “weather.com” and sensor values from soil samples. The data collected are then analyzed at the edge server and updated every 15 minutes. Based on the threshold value, the system starts pumping water or stops the irrigation process depending on the irrigation schedule. A web application was developed to display the result so that we could monitor and control the system using an android application edge or a web browser. Based on the data recorded and measured, the data are in comma-separated values (CSV) format and contain 143731 entr...

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