Potato late blight monitor

1.Potato late blight monitor product description

Potato late blight monitor uses advanced sensor technology to monitor the temperature, humidity and other meteorological parameters of the potato field environment in real time.Potato late blight monitor conducts all-weather on-site monitoring of wind speed, wind direction, rainfall, air temperature, air humidity, atmospheric pressure and other factors.And transmits the data to the platform for storage and analysis through 4G wireless.The system automatically analyzes and calculates through the built-in late blight data model.It can be widely used in agricultural production.

2.Potato late blight monitor performance characteristics

1.Multiple parameter settings, you can set the collection time interval, server address and other parameters.Data is automatically saved.

2.All acquisition parameters are displayed on the same screen.Data is automatically acquired and displayed in real time.

3.Equipped with USB interface, historical data can be exported to USB disk for analysis.

4.The probes are consistent, and the sensor interfaces of different meteorological parameters can be interchanged without affecting the accuracy.

5.With GPRS module, data can be uploaded to the remote service platform in real time.

6.Equipped with GPS positioning module, it can upload location information in real time.

7.Collect data regularly and upload monitoring information automatically.

8.4G wireless transmission, breakpoint resume.

9.Solar power supply system.Super long battery life.

10.Multiple data viewing modes, supporting multiple ways to share late blight analysis data.

11.Automatically analyze late blight infection data and automatically draw late blight infection curve and microclimate environment data curve.

3.Potato late blight monitor technical parameters

1.Air temperature: -30～70℃, accuracy: ±0.3℃

2.Air humidity: 0~100%, accuracy: ±3%

3.Wind speed: 0~45m/s, accuracy: ±1m/s

4.Wind direction: 0-360° Accuracy: ±1°

5.Rainfall: 0-50 mm/hour, error: ±4%