文献类型： 外文期刊

作者： Liu, Naisen ¹ ; Zhang, Wenyu ⁴ ; Liu, Fuxia ¹ ; Zhang, Meina ⁴ ; Du, Chenggong ¹ ; Sun, Chuanliang ⁴ ; Cao, Jing ⁴ ; Ji, Shuwen ¹ ; Sun, Hui ¹ ;

作者机构： 1.Huaiyin Normal Univ, Jiangsu Collaborat Innovat Ctr Reg Modern Agr & E, Huaian 223300, Peoples R China

2.Huaiyin Normal Univ, Jiangsu Key Lab Ecoagr Biotechnol Hongze Lake, Huaian 223300, Peoples R China

3.Huaiyin Normal Univ, Jiangsu Engn Res Ctr Cyanophytes Forecast & Ecol, Huaian 223300, Peoples R China

4.Jiangsu Acad Agr Sci, IGRB IAI Joint Lab Germplasm Resources Innovat &, Nanjing 210014, Peoples R China

5.Jiangsu Acad Agr Sci, YuanQi IAI Joint Lab Agr Digital Twin, Nanjing 210014, Peoples R China

6.Jiangsu Acad Agr Sci, Inst Agr Informat, Nanjing 210014, Peoples R China

7.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Jiangsu, Peoples R China

关键词： crop growth information sensor; crop spectral reflectance; spectral monitoring; automatic balancing; theoretical calibration method

期刊名称：AGRONOMY-BASEL （ 影响因子：3.949； 五年影响因子：4.117 ）

ISSN：

年卷期： 2022 年 12 卷 9 期

页码：

收录情况： SCI

摘要： In this study, a low-cost, self-balancing crop spectral reflectance sensor (CSRS) was designed for real-time, nondestructive monitoring of the spectral reflectance and vegetation index of crops such as tomato and rapeseed. The sensor had a field of view of 30 degrees, and a narrow-band filter was used for light splitting. The filter's full width at half-maximum was 10 nm, and the spectral bands were 710 nm and 870 nm. The sensor was powered by a battery and used WiFi for communication. Its software was based on the Contiki operating system. To make the sensor work in different light intensity conditions, the photoelectric conversion automatic gain circuit had a total of 255 combinations of amplification. The gimbal of the sensor was mainly composed of an inner ring and an outer ring. Under the gravity of the sensor, the central axis of the sensor remained vertical, such that the up-facing and down-facing photosensitive units stayed in the horizontal position. The mechanical components of the sensor were designed symmetrically to facilitate equal mass distribution and to meet the needs of automatic balancing. Based on the optical signal transmission process of the sensor and the dark-current characteristics of the photodetector, a calibration method was theoretically deduced, which improved the accuracy and stability of the sensor under different ambient light intensities. The calibration method is also applicable for the calibration of other crop growth information sensors. Next, the standard reflectance gray scale was taken as the measurement variable to test the accuracy of the sensor, and the results showed that the root mean square error of the reflectance measured by the sensor at 710 nm and 870 nm was 1.10% and 1.27%, respectively; the mean absolute error was 0.95% and 0.89%, respectively; the relative error was below 4% and 3%, respectively; and the coefficient of variation was between 1.0% and 2.5%. The reflectance data measured by the sensor under different ambient light intensities suggested that the absolute error of the sensor was within +/- 0.5%, and the coefficients of variation at the two spectral bands were 1.04% and 0.39%, respectively. With tomato and rapeseed as the monitoring targets, the proposed CSRS and a commercial spectroradiometer were used to measure at the same time. The results showed that the reflectance measured by the two devices was very close, and there was a linear relationship between the normalized difference vegetation index of the CSRS and that of the commercial spectroradiometer. The coefficient of determination (R-2) for tomato and rapeseed were 0.9540 and 0.9110, respectively.