<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Global warming and lack of rain were the main problems that caused increased drought around the world. In New Zealand, according to National Institute of Water and Atmospheric Research (NIWA) the drought in 2012 and 2013 was the worst drought in the last 70 years. Therefore, there is a need for technological intervention to monitor basic information about the weather and soil condition in order to identify and predict drought conditions. Initial experiments have shown that the proposed wireless sensor drought monitoring system is capable of remote real-time monitoring for extended periods. This monitoring can also help identify drought in the early stages and thereby indicate promptly when to take corrective measures. Intelligent sensors in a wireless network monitor the soil condition. These sensors collect various environmental; parameters and then send the pre-processed data wirelessly to a base station. From the base station this data uploads every two seconds to the cloud (internet) for further analysis. If a drought condition is identified by the monitoring system then an alert message is sent to the user via text message or email.</p></abstract>

Global warming and lack of rain were the main problems that caused increased drought around the world. In New Zealand, according to National Institute of Water and Atmospheric Research (NIWA) the drought in 2012 and 2013 was the worst drought in the last 70 years. Therefore, there is a need for technological intervention to monitor basic information about the weather and soil condition in order to identify and predict drought conditions. Initial experiments have shown that the proposed wireless sensor drought monitoring system is capable of remote real-time monitoring for extended periods. This monitoring can also help identify drought in the early stages and thereby indicate promptly when to take corrective measures. Intelligent sensors in a wireless network monitor the soil condition. These sensors collect various environmental; parameters and then send the pre-processed data wirelessly to a base station. From the base station this data uploads every two seconds to the cloud (internet) for further analysis. If a drought condition is identified by the monitoring system then an alert message is sent to the user via text message or email.

Designing a Wireless Sensors Network for Monitoring and Predicting Droughts

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Designing a Wireless Sensors Network for Monitoring and Predicting Droughts"}

Global warming and lack of rain were the main problems that caused increased drought around the world. In New Zealand, according to National Institute of Water...

Designing a Wireless Sensors Network for Monitoring and Predicting Droughts

Published Online: Feb 15, 2020

Page range: 1 - 6

DOI: https://doi.org/10.21307/ijssis-2019-090

Keywords
wireless sensor network, drought monitoring, Internet of things digital signal processing, internet of things, zigbee, raspberry pi, remote sensing

© 2019 Authors., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Designing a Wireless Sensors Network for Monitoring and Predicting Droughts

Published Online: Feb 15, 2020

Page range: 1 - 6

DOI: https://doi.org/10.21307/ijssis-2019-090

Keywordswireless sensor network, drought monitoring, Internet of things digital signal processing, internet of things, zigbee, raspberry pi, remote sensing

© 2019 Authors., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
wireless sensor network, drought monitoring, Internet of things digital signal processing, internet of things, zigbee, raspberry pi, remote sensing