Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (6): 625-.
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ZHANG Huaizhu, YAO Linlin, SHEN Yang, YAO Xinyi
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Abstract:
For the current limitations of traditional crop's data monitoring, difficult setting up lines, labor-intensive material and other problems, a remote and intelligent crop's low-altitude observation system was designed. Taking Raspberry Pi as the core, the system can achieve the observation on low-altitude and ground through wireless network. For the low-altitude part, DHT11 temperature and humidity sensor was the temperature and humidity acquisition unit, and BH1750 sensor was the light intensity acquisition unit. Temperature-humidity and light intensity acquiring circuit were built through the Raspberry Pi GPIO(General Purpose Input Output). Photos of crops at low-altitude were taken by the Raspberry Pi IP(Internet Protocol) camera. Data and image can be stored in Raspberry Pi. For the ground part, setting STC89C51 microcontroller as the core, temperature-humidity sensors were connected on it. The collected data then were transferred to the Raspberry Pi through nRF24L01 wireless module. The Raspberry Pi VNC(Virtual Network Computer) access interface was landed on PC(Personal Computer). Upper computer was built on the VNC access interface, on which reaL-time monitoring and analysis of data can be realized. Test result showed that the system implemented a full range of observation of the crop which consisted of temperature, humidity, light intensity, growth and other indicators. A remote and intelligent data transmission and observation of the crops were immplemented. The system used new technologies of UAVs (Unmanned Aerial Vehicle), card-type computer Raspberry Pi, wireless networks and so on, solved the traditional method of stringing, consumption of wealth and other issues. It had a strong advantage over the traditional method.
Key words: Raspberry Pi, wireless network, low-altitude observation, real-time monitor, temperature-humidity acquisition
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ZHANG Huaizhu, YAO Linlin, SHEN Yang, YAO Xinyi. Design of Low-Altitude Observation System on Crops Based on Raspberry Pi[J].Journal of Jilin University(Information Science Ed, 2015, 33(6): 625-.
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