【摘要】 针对当前田间测产方法单一、误差相对较大的情况，研发出一种基于微波的产量监测传感器。以传感器为核心构成产量监测系统，主要由微波模块、数据处理模块、GNSS接收机、产量监测实时程序组成。由于微波模块对含水率比较敏感，通过MatLab对大豆含水率和微波幅值损耗进行仿真，根据不同含水率对微波幅值的损耗拟定出线性函数，计算出台架试验大豆含水率对微波幅值的损耗。为了检验传感器的精度，进行了台架试验，将试验台电机调至任意转速时，通过回波信号进行分析得到功率谱密度，建立功率谱密度和大豆质量之间的线性关系，依据线性关系通过功率谱密度计算的大豆质量与实际质量比较，传感器测量误差低于8%。选择玉米和大豆进行田间测产试验，通过MatLab作出产量图，可以直观看出产量高低，引起对低产区的关注，为精准农业变量作业提供原始数据。更多还原

【Abstract】 In view of the current situation of single field production measurement methods and relatively large errors, a microwave-based yield monitoring sensor was developed. The sensor as the core constituted the yield monitoring system, which was mainly composed of microwave module, data processing module, GNSS receiver and real-time yield monitoring program. Microwave module is more sensitive to water content, through Matlab to the soybean water content and microwave amplitude loss simulation, according to the different water content of the microwave amplitude loss to work out a linear function, calculate the release of the test soybean water content to microwave amplitude loss. Carried out to test the accuracy of the sensor, the bench test, the test motor will be dispatched to arbitrary rotation speed, the power spectral density is obtained by echo signal was analyzed, establish the linear relation between the power spectral density and quality of soybean, based on the linear relationship between soybean quality through the calculation of power spectral density compared with the actual quality, sensor measurement error less than 8%. Corn and soybean were selected for field production test, and the yield map was made by Matlab, which could intuitively show the high and low yield, attracting attention to low production areas, and providing original data for variable operations in precision agriculture.更多还原