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Reseach Article

Improving Agricultural Production using Internet of Things (IoT) and Open Source Technologies

by Benjamin Odoi-Lartey, Edward Danso Ansong
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

@article{ 10.5120/ijca2018916396,
author = { Benjamin Odoi-Lartey, Edward Danso Ansong },
title = { Improving Agricultural Production using Internet of Things (IoT) and Open Source Technologies },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 179 },
number = { 21 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number21/28996-2018916396/ },
doi = { 10.5120/ijca2018916396 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:05.911653+05:30
%A Benjamin Odoi-Lartey
%A Edward Danso Ansong
%T Improving Agricultural Production using Internet of Things (IoT) and Open Source Technologies
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 21
%P 36-42
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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

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Index Terms

Computer Science
Information Sciences

Keywords

Internet of Things IoT Raspberry Pi Arduino Sensors iFarm Open Source Agriculture.