The granary environment quality classification granary is one of the important methods for evaluating modern granary quality management. This paper analyzed the factors affecting grain storage safety,and focused on the important parameters influencing granary environment quality grading,such as temperature,humidity,harmful gas,and insect damage. We also constructed an artificial neural network model of the four factors by computer neural network technology to evaluate and classify granary environment scientifically and objectively.

This paper described the significance and importance of the aquaculture industry automation .The structure and working principle of the mechanical system and control system were introduced in detail .The screw pair and two hy-draulic cylinders were chosen in the drive system , and 89 C51 microcontroller and stepper motors were used in the control system .Coordination of the entire device ensured accurate position of the egg collection device and automatic collection for the eggs at different heights .

wheat hardness is an important index for wheat quality evaluation .In this paper , the wheat grain collision ob-jects produce audio test signal analysis , combined with wavelet transform and discrete cosine transform algorithm for wheat audio test signal processing , using the multiresolution feature of wavelet transform and discrete cosine transform energy compression and related ability , extract useful characteristic parameters of linear regression analysis method is adopted to establish the regression model based on these feature parameters .Experiments show that the built model of the linear cor-relation coefficient can reach 0 .957 3 .

In view of the problem,that the insect damaged wheat kernels' detection worked intensity,lowly and low accuracy,the paper introduced a kind of method about insect damaged wheat kernels based on the basic principle of acoustics.First,the system collected the ultrasonic signals of wheat kernels which hit target of metal by using self-made voice signal acquisition device,then processed the pretreated signals with Fourier transform and extracted the related characteristics.According to the features,the injured wheat kernels were classified through the BP neural network.Through test insect damage and perfect wheat kernels 30 sample respectively,the results show that the correct detection rate of insect damage wheat kernels by using acoustic characteristics was 90%,perfect wheat grain recognition rate was 93%,the overall accuracy of wheat discrimination at 91.5%.

A new acoustic method based on wavelet packet transform was proposed for the wheat hardness detection.The system collected the ultrasound signal of the wheat and exploded it by using the wavelet packet transform,got the sub-band energy of signal and extracted some characteristic parameters.Through linear regression analysis,the regression model between wheat hardness and the characteristic parameters was established.The linear correlation coefficient r2has reached 0.9589.

By processing the ultrasonic signals of wheat with discrete cosine transform,we extract the characteristic parameters what can reflect the moisture content of wheat.Using a linear regression analysis,we establish based on these characteristic parameters of wheat moisture content prediction m0del.The experiments show that the maximum average absolute of the predictive model what is establishment of the same varieties of wheat moisture content is 0.02,the maximum average relative error is-0.018%.

In the unilateral light conditions,due to the effect of the interaction between rice and chalkiness,the adhesion rice image collected will lost the information of the low gray after Binarization easily.Therefore,there is need to enhance the image.This article talks about the enhancement of the touching rice image using transformation of powers,histogram equalization and local enhancement,compare and analyze them,in order to get the most effective method.The results shows that the effect of transformation of powers and local enhancement works best,and conducive to subsequent adhesion split.

moth-eaten factor is the one seriously affects the quality of rice.Currently,it generally uses vision to detect moth-eaten rice,but human factors affect the detection results.This paper presents a shape-based feature detection method.extract the edge point coordinates by the direction of freeman chain code from the moth-eaten rice image,and then calculate the angle of two adjacent points,analysis the data obtained,and then calculate their mean,variance,third-order moments,entropy and other features,finally,using fisher classifier to classify the moth-eaten rice.Experiments show the rate of the moth-eaten rice is 95.65%.

The ultrasonic signal of the wheat grain collides with metal objects contains a wealth of quality information.So,we extract the characteristic parameters what can reflect the wheat moisture by processing the ultrasonic signal with wavelet transform.With binary linear regression analysis method,we analyze these characteristic parameters,and establish based on these constants of wheat moisture content prediction model.The experiments show that the average absolute error of prediction model is 0.002;the average relative error is 0.012%.

The quality of rice was influenced by injured kernel seriously,rice injured kernel detectionwas very significative.Detecting the rice injured kernel by the method of graphical analysis is a new research subject while rice injured kernel edge detection is one important task.This article use the LoG operator method,frequency domain detection method,morphology to detect worm-eaten rice edge,and compare their detection effect and speed,in order to get the most effective edge detection method.The result shows that morphological detection method was the best,and the processing speed was fastest.

The merit of traditional method to make fresh persimmons lose acerbity were introduced concisely in this paper.The process,quality identification and controlling and methods of heat preservation of the technique that use warm water to make fresh persimmons lose acerbity were discussed.The system devices using warm water to make fresh persimmons lose acerbity was designed with mechanotronics technology.Composition,working theory,controlling flow,using and maintaining and the advantage compared with traditional method of the mechanotronics system were investigated.

The characteristic of punch process and the importance of die quality to ensure the workpiece quality were introduced briefly in this paper.The structure characteristic and punch workability of bracket of agricultural car absorber were analyzed in detail.The composite punch dies to produce bracket of agricultural car absorber was designed and its structure and working principle were introduced.

The audio signals of wheat grain colliding with objects contain large amounts of information.By processing the audio signals with wavelet transform technology,some useful feature parameters can be extracted.With linear regression technology,we analyze these feature's parameters,establish relations between these constants and wheat hardness,and build the regression model.The linear correlation coefficient of the regression model has reached0.9505.

An edge detection approach of rice image combines canny with mathematical morphologic method is proposed.Firstly the non-uniform illumination of original image was preprocessed by mathematical morphologic,then detected on its edge by canny opetator.The experiment result shows that this method is better than the original canny algorithm.

介绍了一种以89C51单片机和DSl8820数字温度传感器构成的远程粮仓温控系统.从硬件组成和软件功能两方面对系统的性能与设计作了论述.系统采用了RS-485总线技术,具有连线简捷、传输距离远、防雷电、性价比高、易扩充等特点.

This paper introduces a currently prevalent and mature technique of Linux embedded system on the arm9 platform and a case of it applied on on-line oil color detection system. A realization of real-time data collection system based on TCP/IP is pre-sented. Then the performance and design of it are described from software and hardware. This design has some flexility and can be used in other data detection and remote monitoring systems easily.