Successful deployment of a Wireless Sensor Network for precision agriculture in Malawi

Mafuta, Million; Zennaro, Marco; Bagula, Antoine; Ault, Graham; Gombachika, H.S.H.; Chadza, Timothy A.

doi:10.1109/nesea.2012.6474009

Cited by 48 publications

(16 citation statements)

References 4 publications

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“…An energy efficient method for the wireless sensor communication used in an automated irrigation system is proposed in [2] which is based on the Time Division Multiple Accesses (TDMA) scheduling that allows nodes to turn ON/OFF their radio according to scheduled slots. In [3] authors present automated irrigation system using WSN to optimize water use in fields in which distributed sensor network of soil moisture and temperature are deployed in fields. The sensor information is collected by using gateway which triggers actuators and transmits data to web application.…”

Section: Literature Surveymentioning

confidence: 99%

Monitoring of Agricultural Fields Based on Drip Irrigation With Wireless Sensors

2017

IJAERD

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Section: Literature Surveymentioning

confidence: 99%

Monitoring of Agricultural Fields Based on Drip Irrigation With Wireless Sensors

2017

IJAERD

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“…Moreover, it is a low-cost and low-power consumption technology. These features have accelerated the application of WSNs in many areas including precision agriculture [24][25][26], wildfire detection and reporting [27][28][29], and PV condition monitoring and reporting [30][31][32]. The reviewed literature is focused primarily on analysing performance and demonstrates the effectiveness of the WSN technology.…”

Section: Remote Monitoring Technologymentioning

confidence: 99%

“…Due to the limited storage capabilities of the Subscriber Identity Module (SIM) card inserted into the Broadband dongle, a FrontlineSMS interface was used to push the data from the dongle to a MySQL database. This interface was chosen as a gateway between the dongle and the database because it is a free open source software and provides a more user-friendly Java FrontlineSMS back-end based browser [24].…”

Section: Central Monitoring Station (Cms)mentioning

confidence: 99%

Small Scale Rollout of PV Systems in Chikwawa District, Malawi: Remote Monitoring System Effectiveness

Mafuta

Dauenhauer²,

Chadza

2017

Journal of Solar Energy

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Off-grid solar photovoltaic systems in Malawi are deployed increasingly as the primary option for rural public infrastructure such as primary schools and health centres. Overall, grid-connected electricity access has remained stagnant at around 9% with only 1% of rural population connected. To improve the technical sustainability of such systems, a novel remote monitoring technology utilising Wireless Sensor Networks was installed and the systems were monitored over roughly one year. This paper has described the technical design, performance, and benefits received from deployment of the technology. Furthermore, it has evaluated the cost implications for a larger scale rollout and potential benefits.We dedicate this work to Mr. McEnroe Mulera who was a great asset to the project and will be missed

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“…The relationship between transmit power (dBm) and supply voltage (Volts) is described in (Mafuta et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Predicting Battery Charge Depletion in Wireless Sensor Networks Using Received Signal Strength Indicator

Yano¹,

Oliveira²,

Fagotto³

et al. 2013

Journal of Computer Science

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This article aims to identify an adequate mathematical model to predict battery power depletion at the nodes of a Wireless Sensor Network (WSN), by analyzing the Received Signal Strength Indicator (RSSI). Six general models were tested, the simplest Average model, Linear Regression model, Autoregressive (AR) models and Autoregressive Moving Average (ARMA) models.The selected model (AR) presented a low absolute mean residue and adequately represents the charge depletion process, permitting to predict its behavior and to detect the best moment to replace batteries in the WSN nodes.

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Successful deployment of a Wireless Sensor Network for precision agriculture in Malawi

Cited by 48 publications

References 4 publications

Monitoring of Agricultural Fields Based on Drip Irrigation With Wireless Sensors

Monitoring of Agricultural Fields Based on Drip Irrigation With Wireless Sensors

Small Scale Rollout of PV Systems in Chikwawa District, Malawi: Remote Monitoring System Effectiveness

Predicting Battery Charge Depletion in Wireless Sensor Networks Using Received Signal Strength Indicator

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