scholarly journals Development of a Low-Cost Arduino-Based Weather Station

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Temilola M Adepoju ◽  
Matthias O Oladele ◽  
Abdulwakil A Kasali ◽  
Gbenga J Fabiyi
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Low Cost ◽  
Data Communication ◽  
Weather Data ◽  
Weather Station ◽  
Atmospheric Conditions ◽  
Rf Transceiver ◽  
Temperature And Humidity ◽  
Arduino Uno

A weather station is a facility located either on land or sea consisting of instruments and equipment which can be used to measure atmospheric conditions so as to provide weather forecasts information and to study the weather. The existing instruments used for measuring the weather elements are expensive which led to the development of a low-cost Arduino-based weather station. The developed low-cost weather station consists of three separate modules which are data collection, data storage, and data communication. These modules communicate serially with each other and are controlled by three separate microcontrollers (Arduino Uno). The data collection module is interfaced with a set of sensors that collects temperature and humidity. The weather data were viewed in real-time through a graphical user interface (GUI) located at the central station. The developed weather station was able to measure the temperature and humidity of a controlled environment, giving the reading at interval of five minutes. It was observed that the average temperature from results obtained (27.360C) with the developed low-cost Arduino based weather station falls within the range of the Accuweather readings (24.00-28.000C). Also, the average humidity of the developed low-cost Arduino based weather station (80.41%) falls within the range of the Weatherspark humidity (78-82%) on 20th August 2019. Therefore, this system can be adopted as a weather station facility. The design can be extended to be web-based in the future to make it available worldwide.Keywords— Arduino Uno, Humidity, RF Transceiver, Temperature, Weather Station

scholarly journals Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things

2019 ◽  
Vol 9 (2) ◽  
pp. 203
Author(s):  
Nur Achmad Sulistyo Putro ◽  
Catur Atmaji ◽  
Kristiawan Devianto ◽  
Zandy Yudha Perwira
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
System Development ◽  
Low Cost ◽  
Weather Data ◽  
Weather Station ◽  
Regional Topography ◽  
High Scalability ◽  
Weather Stations ◽  
New Location

Indonesia is a country that has unique weather that provides not only abundant natural resources but also can causes disasters at any time. To reduce the threat of losses, observing weather elements using a weather station is a solution that can be used. The development of systems related to environmental monitoring and weather stations is not new. However, most research focuses on various innovations in utilization, low cost and power savings. These studies have not touched on the aspect of ease of system development, especially in the concept of adding nodes. Indonesia, as a country with diverse regional topography, needs an integrated weather monitoring system with the concept of centralized data collection to get a complete picture.In this study, a portable mini weather station system was built named Amicagama. This system is built with the concept of high scalability which means the system is designed to be used publicly, with each user able to manage the nodes which are their respective weather stations. Management by each user here means that each user can manage weather data to be submitted, add nodes at a new location, and can delete nodes at a certain location if something unexpected happens.

scholarly journals An IoT based Low-cost Weather Monitoring System for Smart Farming

2021 ◽  
Author(s):  
L.P.S.S.K. Dayananda ◽  
A. Narmilan ◽  
P. Pirapuraj
Keyword(s):  
Liquid Crystal ◽  
Mobile Phone ◽  
Real Time ◽  
Monitoring System ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Arduino Uno

Background: Weather monitoring is an important aspect of crop cultivation for reducing economic loss while increasing productivity. Weather is the combination of current meteorological components, such as temperature, wind direction and speed, amount and kind of precipitation, sunshine hours and so on. The weather defines a time span ranging from a few hours to several days. The periodic or continuous surveillance or the analysis of the status of the atmosphere and the climate, including parameters such as temperature, moisture, wind velocity and barometric pressure, is known as weather monitoring. Because of the increased usage of the internet, weather monitoring has been upgraded to smart weather monitoring. The Internet of Things (IoT) is one of the new technology that can help with many precision farming operations. Smart weather monitoring is one of the precision agriculture technologies that use sensors to monitor correct weather. The main objective of the research is to design a smart weather monitoring and real-time alert system to overcome the issue of monitoring weather conditions in agricultural farms in order for farmers to make better decisions. Methods: Different sensors were used in this study to detect temperature and humidity, pressure, rain, light intensity, CO2 level, wind speed and direction in an agricultural farm and real time clock sensor was used to measured real time weather data. The major component of this system was an Arduino Uno microcontroller and the system ran according to a program written in the Arduino Uno software. Result: This is a low-cost smart weather monitoring system. This system’s output unit were a liquid crystal display and a GSM900A module. The weather data was displayed on a liquid crystal display and the GSM900A module was used to send the data to a mobile phone. This smart weather station was used to monitor real-time weather conditions while sending weather information to the farmer’s mobile phone, allowing him to make better decisions to increase yield.

Realization and use of a digital portable Weather Station - An integrated example of technological applications of low cost and high quality professional hardware platforms for innovative laboratory teaching in the classroom

2020 ◽  
Author(s):  
Pietro Crimi
Keyword(s):  
Communication Networks ◽  
Meteorological Data ◽  
Low Cost ◽  
Online Communication ◽  
Lower Troposphere ◽  
Mobile Systems ◽  
Advanced Technology ◽  
Weather Data ◽  
Weather Station ◽  
Laboratory Teaching

<p>As part of the innovation in the laboratory teaching of Natural Sciences, an experimental path of learning of Atmospheric Sciences and Microclimates is proposed in continuation and evolution, which was presented with a poster at the GIFT workshop 2017, an experience of project, construction and use of a mobile and portable Weather Station with digital features.By identifying the main parameters that measure the physical characteristics of the lower troposphere and the corresponding sensors responsible for detecting instantaneous weather data, a project was developed for the construction of a mini weather station with an assembly system of modular electronic components in "open source" , such as those of the "Arduino" platform (series of electronic boards equipped with a microcontroller). In this way, a device for controlling the main weather parameters (temperature, atmospheric pressure, relative humidity, ...) in real time in any part of the territory was achieved relatively quickly and easily. The hardware platform in pre-assembled version, with specific microcontrollers and USB interface for connections to the most advanced computer devices, together with the sensors, which can be acquired through the online network, allow you to create a completely inexpensive but absolutely professional, effective and efficient weather mobile system as well as easily transportable in various external and internal environments. The subsequent data collection, through visualization with advanced technology display and fast and online communication networks, by means of applications for mobile systems (tablets and smartphones), integrated by field observations, define the instantaneous weather and to process meteorological data in statistical terms with simple operations and graphs.</p>

scholarly journals COASTAL MAPPING AND KITESURFING

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 3-10
Author(s):  
J. Barde ◽  
S. Bonhommeau ◽  
E. Chassot ◽  
B. Motah
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Low Cost ◽  
Environmental Parameters ◽  
Ocean Dynamics ◽  
Human Beings ◽  
Marine Animals ◽  
Coastal Mapping ◽  
Archival Tags ◽  
Recreational Vessels

<p><strong>Abstract.</strong> Collecting data on aquatic biodiversity is very challenging because of the difficulty to access underwater ecosystems. Over the years, field surveys have become easier and cheaper with the development of low cost electronics. Commercial and recreational vessels, including sailboats, can now substantially complement expensive scientific surveys and arrays of observation buoys deployed across the world oceans (Pesant et al., 2015, Karsenti et al., 2011). Meanwhile, a large variety of marine animals such as birds, mammals, and fish have become data collection platforms for both biological and environmental parameters through the advent of archival tags. It becomes obvious that data collection in coastal and high seas will become more popular and that citizen will play a growing role in acquiring information on ocean dynamics (physical, chemical and biological parameters). However, currently, very few attempts have been made to use Human beings as observation platforms. In this paper we describe large datasets (more than 200,000 pictures) that have been recently collected along the coast of Mauritius by using popular and cheap platforms such as kite surf and Stand Up Paddle. We describe the characteristics of the data collected and showcase how they can be geolocated and used to complement remote sensing and mapping in order to drastically extend the current scope of “old school” fieldwork. We point out some of the main limitations encountered which need to be addressed to foster this citizen science approach such as data storage and transmission, deep learning to automate image recognition. The methods are all based on open source softwares.</p>

Low-cost Wireless Personal Weather Station for Rural Farmers

2021 ◽  
Vol 9 (1) ◽  
pp. 01-10
Author(s):  
André Rodrigue Tchamda ◽  
Merlain Boris Djousse K. ◽  
Anselme Maffo Koumetio ◽  
Mathias Fru Fonteh ◽  
François Becau Pelap ◽  
...  
Keyword(s):  
Data Analysis ◽  
Wind Speed ◽  
Rural Areas ◽  
Low Cost ◽  
Data Extraction ◽  
Weather Data ◽  
Weather Station ◽  
Rural Farmers ◽  
Remote Server ◽  
File Formats

This document presents the design of a prototype of a low-cost personal weather station suitable for farmers in rural areas who are or may not be engaged in rudimentary agriculture. This prototype measure several weather data: temperature, relative humidity, wind speed, wind direction, rainfall. For further data analysis, these are transmitted for recording to a remote server via wireless communication. The server offers data extraction possibilities in multiple file formats. A prototyping of the personal weather station is designed and commissioned. An extract of the results over two days is presented in the results section of this document

scholarly journals Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3831
Author(s):  
Padma Balaji Leelavinodhan ◽  
Massimo Vecchio ◽  
Fabio Antonelli ◽  
Andrea Maestrini ◽  
Davide Brunelli
Keyword(s):  
Data Collection ◽  
Precision Agriculture ◽  
Climatic Factors ◽  
Wind Data ◽  
Weather Data ◽  
Weather Station ◽  
Weather Patterns ◽  
Weather Stations ◽  
Iot Devices ◽  
Local Weather

Agriculture faces critical challenges caused by changing climatic factors and weather patterns with random distribution. This has increased the need for accurate local weather predictions and weather data collection to support precision agriculture. The demand for uninterrupted weather stations is overwhelming, and the Internet of Things (IoT) has the potential to address this demand. One major challenge of energy constraint in remotely deployed IoT devices can be resolved using weather stations that are energy neutral. This paper focuses on optimizing the energy consumption of a weather station by optimizing the data collected and sent from the sensor deployed in remote locations. An asynchronous optimization algorithm for wind data collection has been successfully developed, using the development lifecyle specifically designed for weather stations and focused on achieving energy neutrality. The developed IoT weather station was deployed in the field, and it has the potential to reduce the power consumption of the weather station by more than 60%.

scholarly journals Low Cost Iot Enable Weather Station for Precision Agriculture

2019 ◽  
Vol 8 (4) ◽  
pp. 3183-3186
Keyword(s):  
Wind Speed ◽  
Wind Direction ◽  
Precision Agriculture ◽  
Low Cost ◽  
Local Level ◽  
Weather Condition ◽  
Weather Conditions ◽  
Mobile App ◽  
Weather Station ◽  
Atmospheric Conditions

Agrometeorology plays an important role in Precision Agriculture for resource management and effects both the quality and quantity of agriculture products. The existing solutions for monitoring weather parameters in agrometeorology are highly global and costly. These solutions are most of the time are inaccessible to the common man or farmers and require frequent physical visits to the field for obtaining information. But in agriculture monitoring highly localized weather condition is required because the weather conditions applicable farm land of one city may not be as such for a farmer of small rural. Weather conditions such as wind speed, wind direction, rainfall, solar radiation, atmospheric pressure, air particle level humidity and temperature measurement plays an important role in different fields like Agriculture, Science, Engineering and Technology. The proposed work provides an optimal solution for monitoring the weather conditions at extremely local level with low cost, compact Internet of Things (IoT) based system. In this paper the design of the system is presented with the use of NodeMCU for realizing the low-cost solution. This low-cost weather station is a product equipped with sensors to measure atmospheric conditions like temperature, humidity, wind speed, wind direction which has predominant effect in agriculture. With embedded IoT connectivity, the proposed weather station is capable to upload the information to IoT cloud ad can be used for further analysis.The user can access the information uploaded by the system anywhere from the world with the help on mobile app or web link on laptop/desktop. The “Low cost Compact IoT enabled Weather Station” does not have any display which make the proposed system more power efficient with overall current rating of about only 80mA to 90mA.

Temperature and Humidity Measurement Based on Wireless Sensor Network Technology

2010 ◽  
Vol 439-440 ◽  
pp. 46-50 ◽  
Author(s):  
Xiao Chen
Keyword(s):  
Data Storage ◽  
Humidity Sensor ◽  
Low Cost ◽  
Wireless Sensor ◽  
Dual Function ◽  
Humidity Measurement ◽  
System A ◽  
Wireless Transceiver ◽  
Temperature And Humidity ◽  
Working Principle

To overcome the shortcomings of wired temperature and humidity measurement system, a temperature and humidity measuremet system based on wireless sensor networks was designed. the components of the system and its working principle were described in detail. Its nodes use a digital temperature and humidity sensor SHT15 for data collection, wireless transmission chip CC1100e for data short-range wireless transceiver and the wireless network, and AT89S52 microcontroller for controlling core. Nodes communicate with the background host through serial interfaces. The system can achieve environmental temperature and humidity dynamically and comprehensive real-time monitoring. Node has a dual function as terminals and routers, in addition to data processing, but also for other nodes to forward the temperature and humidity data storage, management, and integration, and taking in collaboration with other nodes to complete some specific tasks. The system has some advantages such as low cost, low power consumption and small size, which has a good application prospects.

Development of Low Cost, Rapid Sampling Atmospheric Data Collection System: Part 2 - Sensor & System Integration

2021 ◽  
Author(s):  
Andrew L. Ross ◽  
Victoria A. Natalie ◽  
James C. Brenner ◽  
Kyle T. Hickman ◽  
Jamey D. Jacob
Keyword(s):  
Data Collection ◽  
System Integration ◽  
Low Cost ◽  
Sensor System ◽  
Collection System ◽  
Data Collection System ◽  
Rapid Sampling ◽  
Atmospheric Data ◽  
System Part
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