Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming
Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this pape...
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Online Access: | https://www.mdpi.com/1996-1073/11/12/3427 |
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doaj-aaf5cdd4dd3b4fbf8ed31a54b6d890a22020-11-24T21:45:40ZengMDPI AGEnergies1996-10732018-12-011112342710.3390/en11123427en11123427Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel FarmingM. Safdar Munir0Imran Sarwar Bajwa1M. Asif Naeem2Bushra Ramzan3Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, PakistanDepartment of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, PakistanSchool of Computer and Mathematical Sciences, Auckland University of Technology, Auckland 92006, New ZealandDepartment of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, PakistanEfficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this paper, we propose an intelligent approach for efficient plant irrigation that has a database of daily water needs of a type of plant and decides the amount of water for a plant type on the basis of the current moisture in soil, humidity, and time of the day. This approach not only saves sweet water by efficient utilization, but also supports smart consumption of energy. Our approach employs IoT and a set of sensors to efficiently record plant data and their watering needs and the approach is implemented with a mobile phone application interface that is used to continuously monitor and control the efficient watering system. The results of this study are easy to reproduce as the sensors used are cheap and easy to access. The study discusses in this paper is experimented on small area (such as tunnel farm) but the results of the experiments show that the used approach can be generalized and can be used for large size fields for efficient irrigation. The results of the experiments also outperform the manual approach and the similar approaches for sensor based irrigation systems.https://www.mdpi.com/1996-1073/11/12/3427IoTtunnel irrigationsmart energy consumptionsmart irrigation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Safdar Munir Imran Sarwar Bajwa M. Asif Naeem Bushra Ramzan |
spellingShingle |
M. Safdar Munir Imran Sarwar Bajwa M. Asif Naeem Bushra Ramzan Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming Energies IoT tunnel irrigation smart energy consumption smart irrigation |
author_facet |
M. Safdar Munir Imran Sarwar Bajwa M. Asif Naeem Bushra Ramzan |
author_sort |
M. Safdar Munir |
title |
Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming |
title_short |
Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming |
title_full |
Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming |
title_fullStr |
Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming |
title_full_unstemmed |
Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming |
title_sort |
design and implementation of an iot system for smart energy consumption and smart irrigation in tunnel farming |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-12-01 |
description |
Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this paper, we propose an intelligent approach for efficient plant irrigation that has a database of daily water needs of a type of plant and decides the amount of water for a plant type on the basis of the current moisture in soil, humidity, and time of the day. This approach not only saves sweet water by efficient utilization, but also supports smart consumption of energy. Our approach employs IoT and a set of sensors to efficiently record plant data and their watering needs and the approach is implemented with a mobile phone application interface that is used to continuously monitor and control the efficient watering system. The results of this study are easy to reproduce as the sensors used are cheap and easy to access. The study discusses in this paper is experimented on small area (such as tunnel farm) but the results of the experiments show that the used approach can be generalized and can be used for large size fields for efficient irrigation. The results of the experiments also outperform the manual approach and the similar approaches for sensor based irrigation systems. |
topic |
IoT tunnel irrigation smart energy consumption smart irrigation |
url |
https://www.mdpi.com/1996-1073/11/12/3427 |
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