A Web Guide System for Aerial Application to Avoid Off-Target Drift Caused by Temperature Inversion through Open-Source Weather Stations

2019 ◽  
Author(s):  
Yanbo Huang ◽  
Daniel K. Fisher
2021 ◽  
Vol 37 (1) ◽  
pp. 77-84
Author(s):  
Yanbo Huang ◽  
D. K. Fisher

HighlightsA web application for guiding data calculated from distributed weather data through open-source cloud service.A design scheme of portable weather stations built from inexpensive open-source electronics.Integration of open-source hardware and software for online guiding data to avoid drift caused by temperature inversion.Abstract. It is important for agricultural chemical applicators to follow proper spray procedures to prevent susceptible crops, animals, people, or other living organisms from being injured far downwind. Spraying during stable atmospheric conditions should be avoided to prevent surface-temperature inversion-induced off-target drift of crop protection materials. Previous statistical analysis determined times of high likelihood of stable atmospheric conditions, which are unfavorable for spraying, during the day under clear and cloudy conditions in hot summer months in the Mississippi Delta. Results validated the thresholds of temperature increase in the morning and temperature drop in the afternoon with wind speeds and the transition between stable and unstable atmospheric conditions. With this information, an algorithm was developed to calculate if atmospheric conditions were favorable for spraying based on field temperature and wind speed at any instant. With this algorithm, a web application was built to provide real-time determination of atmospheric stability and hourly online recommendation of whether aerial applications were appropriate for a location and time in the Mississippi Delta. This study further developed another web application specifically for Stoneville, Mississippi, with data measured from weather stations constructed from inexpensive open-source electronics, accessories, and software for more accurate online guidance for site-specific drift management. The web application is adapted for accessing on mobile terminals, such as smartphones and tablets, and provides timely guidance for aerial applicators and producers to avoid spray drift and air quality issues long distances downwind in the area. Keywords: Open-source hardware, Open-source software, Spray drift, Temperature inversion, Web application.


2019 ◽  
Vol 35 (1) ◽  
pp. 31-38
Author(s):  
Yanbo Huang ◽  
Daniel K Fisher ◽  
Mark Silva ◽  
Steven J Thomson

Abstract. Susceptible crops can be injured far downwind if proper application spray procedure is not followed. Avoidance of stable atmospheric conditions while spraying is important to prevent surface temperature inversion-induced off-target drift of crop protection materials. Our previous studies consistently indicated high likelihood (>90%) of stable atmospheric conditions (unfavorable for spraying) primarily between the hours of 6:00 pm and 6:00 am during clear conditions in the hot summer months at the Mississippi Delta. With the requirement of timely farm operations, a web application has been developed to provide real-time determination of atmospheric stability and to recommend whether aerial applications are appropriate for a particular location and time. An algorithm was developed to determine atmospheric conditions likely for occurrence of a temperature inversion. This algorithm was programmed using the Python programming language and uploaded to an internet-cloud application platform for publication via HTML. The algorithm calculates the potential of a temperature inversion every hour based on air temperature and wind speed data measured at weather stations deployed over the Mississippi Delta and surrounding areas. The web application is adapted for mobile terminals, such as smartphones and tablets, and can provide timely guidance for aerial applicators and producers to avoid crop damage and air quality issues long distances downwind. Keywords: Aerial application, Spray drift, Temperature inversion, Atmospheric stability, Crop protection, Web application, Mobile terminal.


2021 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
Evmorfia P. Bataka ◽  
Georgios Miliokas ◽  
Nikolaos Katsoulas ◽  
Christos T. Nakas

Open-source devices are widespread and have been available to everyone over the past decade. The low cost of such devices boosts the creation of instruments for various applications such as smart farming, environmental monitoring, animal behavior monitoring, human health monitoring, etc. This research aims to use statistical methods to assess agreement and similarity in order to compare an open-source weather station that was constructed and programmed from scratch with an industrial weather station. The experiment took place in the experimental Greenhouses of the University of Thessaly, Velestino, Greece, for 7 consecutive days. The topology of the experiment consisted of 30 open-source weather stations and three industrials, creating three clusters with a ratio of 10 open-source to 1 industrial. The results revealed low to high agreement across the measurement range, with high variability, possibly due to factors that were not considered in the statistical model.


2011 ◽  
Vol 58-60 ◽  
pp. 2109-2114 ◽  
Author(s):  
Xu Li ◽  
Shi Gong Wang ◽  
Ke Zheng Shang ◽  
Sheng Chen Li ◽  
Lan Hui Zhang ◽  
...  

By using .NET platform and open source Sharpmap technology, a short-range and nowcasting operation system was established for Qinghai. Many kinds of data were integrated in this system, which get from air sounding, satellite, T213 numerical predicting products, doppler radar, lightning position system and automatic weather stations. The system with the functions of ensemble prediction and data retrieval and display, can meet the demand of short-range and nowcasting weather forecast, enhance efficiency of forecaster and provide a support for disaster prevention and mitigation in Qinghai.


Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  

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