Wireless Sensor Network (WSN) Model for Shrimp Culture Monitoring using Open Source IoT

2020 ◽  
Author(s):  
Chalamala Srinivas Goud ◽  
Srinjoy Das ◽  
Ravi Kumar ◽  
Chaitanya Vijaykumar Mahamuni ◽  
Swapnil Khedkar
Keyword(s):  
Wireless Sensor Network ◽  
Open Source ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Shrimp Culture ◽  
Culture Monitoring

Building a Node for Wireless Sensor Network Based on Open Source Platform Arduino

2012 ◽  
Author(s):  
J.F.M.C. Silva ◽  
R.C. Gomes ◽  
A.O.F. Nascimento ◽  
J.W.M. Menezes ◽  
F.D. Silva ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Open Source ◽  
Sensor Network ◽  
Wireless Sensor

PalmNET: An open-source wireless sensor network for oil palm plantations

2017 ◽  
Author(s):  
Maria Culman ◽  
Jesus M. T. Portocarrero ◽  
Cesar D. Guerrero ◽  
Cristihian Bayona ◽  
Jorge Luis Torres ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Open Source ◽  
Sensor Network ◽  
Oil Palm ◽  
Wireless Sensor

SnowFort: An Open Source Wireless Sensor Network for Data Analytics in Infrastructure and Environmental Monitoring

2014 ◽  
Vol 14 (12) ◽  
pp. 4253-4263 ◽  
Author(s):  
Yizheng Liao ◽  
Mark Mollineaux ◽  
Richard Hsu ◽  
Rebekah Bartlett ◽  
Anubhav Singla ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Open Source ◽  
Sensor Network ◽  
Data Analytics ◽  
Wireless Sensor

scholarly journals Optimization and Simulation of an English-Assisted Reading System Based on Wireless Sensor Networks

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Shumei Huang
Keyword(s):  
Operating System ◽  
Wireless Sensor Network ◽  
Open Source ◽  
Sensor Network ◽  
High Speed ◽  
Wireless Sensor ◽  
Network Technology ◽  
Database Technology ◽  
Assisted Reading ◽  
Reading System

In this paper, wireless sensor network technology is applied to an English-assisted reading system to highly simulate and restore the context and improve the performance of all aspects of the English-assisted reading system to optimize the English-assisted reading system. The product designed in this paper is based on wireless sensor network technology with Linux as the core operating system and supports POSIX (Portable Operating System Interface Standard) standard application development interface; QT is used as the component and framework of the system to support many applications. Based on player open-source multimedia audio and video technology, optimized and tailored for the hardware platform, it well supports multimedia learning and entertainment functions; this paper also adopts open-source database technology based on SQL (Structured Quevy Language) and Berkeley DB, using them as a platform for data storage and access, supporting a million-level thesaurus and high-speed, example sentence search. In this paper, we describe the user’s personalized needs by creating interest models for the user, recommending the text content, and reading order that can help with understanding through the interest models and reading articles and expanding the recommended text range by making expansions to the reading content through references and related articles to further help the user understand the text. Based on the above work, this paper implements an assisted reading system; finally, a multihop self-organizing network system is formed through a wireless sensor network to make the rigid and boring English reading easy and interesting.

scholarly journals Low-Cost, Open Source Wireless Sensor Network for Real-Time, Scalable Groundwater Monitoring

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1066 ◽  
Author(s):  
Andrew J. Calderwood ◽  
Richard A. Pauloo ◽  
Alysa M. Yoder ◽  
Graham E. Fogg
Keyword(s):  
Wireless Sensor Network ◽  
Open Source ◽  
Real Time ◽  
Sensor Network ◽  
Groundwater Monitoring ◽  
Low Cost ◽  
Wireless Sensor ◽  
Monitoring Systems ◽  
Capital Costs ◽  
Groundwater Supply

Population growth, climate uncertainties, and unsustainable groundwater pumping challenge aquifer sustainability worldwide. Efficient and data-driven groundwater supply management is a necessity to maintain essential water-dependent functions. Currently, managers lack the cost-effective, scalable, and reliable groundwater monitoring systems needed to collect vital groundwater data. Existing automated groundwater monitoring systems tend to be cost-prohibitive, and manual methods lack the spatial or temporal resolution to sufficiently meet critical water modeling, management, and policy objectives. In this study, we developed a fully automated, open source, low cost wireless sensor network (LCSN) for real-time groundwater data acquisition, processing, and visualization in the South American Subbasin Groundwater Observatory (GWO), located in California, USA. We demonstrate the steps taken to create the GWO, including field, hardware, software, and data pipeline components so that it may be easily reproduced in new areas. We find that the GWO is comparable in cost to manual measurements at a weekly measurement frequency, and costs between three and four times less than comparable commercially available telemetry and dashboard systems, largely due to the use of free open source software to acquire, clean, store, and visualize data. The open source-powered GWO thus lowers the financial and technical barrier of entry for real-time groundwater monitoring, creating the potential for more informed water management worldwide, particularly in regions whose managers are restricted by the high capital costs of commercial monitoring systems.

scholarly journals Sistemas embebidos open source para la caracterización de la humedad en un cultivo hidropónico de fresa por la variación climática

2019 ◽  
Vol 4 (4) ◽  
pp. 153
Author(s):  
Eduardo Francisco García-Cabezas ◽  
Julio César Moyano-Alulema ◽  
Henry Fabrizzio Martínez Naranjo ◽  
Jhonny Marcelo Orozco-Ramos ◽  
Carlos José Santillán-Mariño
Keyword(s):  
Wireless Sensor Network ◽  
Open Source ◽  
Sensor Network ◽  
Wireless Sensor ◽  
El Sistema

<p style="text-align: justify;">En este trabajo se pretende describir la estructura y puesta en práctica de sistemas embebidos open source para la evaluación del grado de conservación de humedad de diferentes combinaciones de sustratos utilizados en el cultivo hidropónico de fresas. La plantación piloto donde se realizó la evaluación cuenta con un área de 700 m2, distribuidos en cuatro parcelas de igual magnitud  donde se utilizó combinaciones de sustratos tales como fibra de coco, fibra de coco - cascarilla de arroz - arena, cascarilla de arroz – arena y fibra de coco – compost de pino. El sistema consta de un control automático para el riego en la plantación centralizado en un Arduino MEGA que gestiona la activación/desactivación de válvulas solenoides para dosificar el recurso hídrico por tiempo y a horas específicas pre-programadas para cada día. Se empleó una WSN (Wireless Sensor Network) con tecnología ZigBee basada en dispositivos Xbee S2 para montar la información de los sensores de humedad ubicados estratégicamente a lo largo de las parcelas y transmitirla de manera inalámbrica hacia el punto centralizado gestionado por una Raspberry Pi3 donde dicha información es monitoreada y registrada en un repositorio de data de manera simultánea. Con la implementación del sistema se logró determinar que el sustrato con mayor nivel de retención de humedad es la combinación arena, cascarilla de arroz ampliando los intervalos de tiempo para el riego, optimizando el uso del recurso hídrico.</p>

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