International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 179 - Number 21 |
Year of Publication: 2018 |
Authors: Benjamin Odoi-Lartey, Edward Danso Ansong |
10.5120/ijca2018916396 |
Benjamin Odoi-Lartey, Edward Danso Ansong . Improving Agricultural Production using Internet of Things (IoT) and Open Source Technologies. International Journal of Computer Applications. 179, 21 ( Feb 2018), 36-42. DOI=10.5120/ijca2018916396
This article proposes a sensor network framework built using Internet of Thing (IoT) and Opens Source tools to automate farm fields monitoring in order to have the farm communicate real time with the necessary stakeholders. The study reviewed a couple of Internet of Things technology in Agriculture and used Open source software and hardware technologies to build-up a prototype that is cheaper and easy to deploy compared to existing proprietary systems. The designed system uses Raspberry Pi model 3 that serves as base station for the sensor network and connects with an Arduino Uno serving as an intermediary between various sensors and the Raspberry Pi. Among the sensors integrated in the system are DHT11 Soil Sensor, Humidity and Temperature Sensor, Passive Infra-Red (PIR) Sensor and Raspberry Pi Camera Module. The study deployed the prototype and tested it over Open IoT API platforms like KAA and OpenIOT for automation, monitoring and data collection