The Pessl iMetos LoRain weather station provides real time measurements for rain, temperature and humidity.
Pessl Intruments introduces the new iMetos LoRain weather station. The compact and – according to the Austrian company – easy to use weather station provides real time measurement in the own field for rain, temperature and relative humidity.
Next to these weather parameters the station calculates many more with the help of 8 virtual sensors. It has an everlasting energy source in the form of a solar panel and works whenever the minimum of sunlight is available, says Pessl.
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You can still find us at SIMA until tomorrow. Come meet the newest member of our family, iMETOS LoRAIN, at our booth (Hall 3, Booth B013), or come by John Deere booth in Hall 5B, Booth A018! #SIMA2019 #innovations #pesslinstruments #imetos #iMETOSLoRAIN #JohnDeere pic.twitter.com/ark6KxCXHk
— Pessl Instruments (@metos_austria) 27 February 2019
The collected data is sent via LoRaWAN network to the FieldClimate platform, where it can be reached, with the help of a mobile app, from anywhere, anytime. The system is equipped with an auto cleaning mechanism to make maintenance simple and fast.
With the data that farmers can plan when to spray, create models for disease risks and infection dates for many crops. Also, farmers can create a localised weather forecast.
The spray window helps identify suitable periods for the application of crop protection measures by showing suitable (green), less suitable (yellow) and unsuitable (red) periods for application. The conditions are calculated from wind, precipitation, air temperature, relative humidity and delta T.
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This risk model is used to evaluate if C. beticola can be expected. If the incubation period could be fulfilled within the last 2 weeks, a value of 1 of incubation is shown, if not, the value is 0.
Besides this model also a model for sporulation is shown. For sporulation, optimal conditions of 48 hours of high relative humidity with an average temperature of 30°C are used. For the interpretation of data: The risk is 0 if the incubation period has been longer than 2 weeks. If this is not the case, the model output will be 1.
If there is a sporulation model result of higher than 10% calculated within the last week, the risk will be shown to be 2 and if the sporulation result is higher than 30% the risk output will be 3.