Research On The Corn Ear Yield Monitoring Method And Technology Corn Ear Yield

Modern precision agriculture management system has advanced and high efficiency,which greatly facilitate the management of agricultural production operations.Among them,the yield measurement system is an important part of precision agriculture.As the main food crops of our country,the fluctuation of the output of corn is related to whether the work of national food security can proceed smoothly.At present,research of the system proposed the model and the methods,but it’s accuracy can not be guaranteed,there is a big error in the measured data results.The models of monitor algorithms of the measured signal are not well adapted.Therefore,in this paper,an impulse sensor was used as a tool to establish a test model of corn ear,and focus on how to make the accuracy to be optimal.The main research content is: The application of advanced digital signal processed means to filter out the vibration interference signals caused by the vibration of the body and ground ravines and other conditions.Harvester vibration signal is an irregular signal to the accuracy of the system caused a great error.The traditional analog filters,digital filters,infinite impulse response filter,differential filter,threshold filter,wavelet analysis functions and wavelet analysis algorithms using neural networks are studied respectively.Finally,through comparative analysis,in order to make the error smaller and to extract the vibration disturbances reasonably from the output signal,a neural network with self-learning features and a wavelet function with high recognition are combined.Using the combination of artificial neural network and wavelet function,the output signal is filtered and analyzed.The simulation results verify the feasibility of the experimental results.The relative error is 2.14% lower than before.In the denoising area further confirmed the algorithm has the advantages of high accuracy and stability.This paper studied the yield measure system of corn ear,and optimized the error of system,and effectively improves the accuracy of yield measurement.It provides some reference for the research of corn ear yield measuring system in China.