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Spectral Sensor Calibration for Maize Detection under Different Conditions

机译:用于不同条件下玉米检测的光谱传感器校准

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In order to satisfy flexible spectral measurement and chlorophyll in the field, a crop monitoring sensor with ZigBee protocol was developed. It could measure sunlight and crop reflected light at the wavebands of 550, 650, 766 and 850nm in real-time. The NDVI was calculated based on the digital signal. After the sensor calibration, the field experiment was conducted to detect the chlorophyll content of maize. The calibration experiments involved optical performance, wireless network performance and consistence Performance, in which the optical calibration was conducted to confirm the constant setting and the optical stability. The constantkwas calculated by the white panel and the average value was 1.042. The average correlation coefficient between illuminometer and every channel was 0.9855. The wireless performance was evaluated by LQI (link quality indicator) and packet loss rate. There was no packet loss and the LQI was in [91.08, 240.12] when the distance less than 72m. The recommended distance was between 72m and 112m with packet loss rate [0, 0.02] and LQI [76.67, 83.42]. To test the consistence performance, 20 sensors were involved and the full magnification of each sensor was MAX. they were test under different magnifications including D1, D2, D3 and D4 (corresponding to the range 1/5MAX, 2/5MAX, 3/5MAX, and 4/5MAX). The results showed that D1 and D2 were recommended with stable measurement DN value range around 500 and 1000 respectively. The field experiment showed that the best resolution for the chlorophyll content detection was 0.5mg/L using the developed sensor. The MLR model was built by NDVI (850,550) and NDVI (766,550). The determination coefficient was Rc2=0.72 and Rv2=0.68 respectively.
机译:为了满足现场灵活的光谱测量和叶绿素需求,开发了一种采用ZigBee协议的作物监测传感器。它可以实时测量550、650、766和850nm波段的阳光和农作物反射光。 NDVI是根据数字信号计算得出的。传感器校准后,进行田间试验以检测玉米中的叶绿素含量。校准实验涉及光学性能,无线网络性能和一致性性能,其中进行光学校准以确认恒定设置和光学稳定性。由白板计算出常数k,平均值为1.042。照度计与每个通道之间的平均相关系数为0.9855。通过LQI(链路质量指标)和丢包率评估无线性能。没有数据包丢失,并且当距离小于72m时,LQI处于[91.08,240.12]。推荐距离为72m至112m,丢包率为[0,0.02],LQI为[76.67,83.42]。为了测试一致性性能,使用了20个传感器,每个传感器的最大放大倍数为MAX。他们在包括D1,D2,D3和D4的不同放大倍数下进行了测试(对应于1 / 5MAX,2 / 5MAX,3 / 5MAX和4 / 5MAX)。结果表明,推荐使用D1和D2,并且DN测量值的稳定范围分别在500和1000附近。野外实验表明,使用开发的传感器,叶绿素含量检测的最佳分辨率为0.5mg / L。 MLR模型是由NDVI(850,550)和NDVI(766,550)建立的。测定系数分别为Rc2 = 0.72和Rv2 = 0.68。

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