Design And Implementation Of Remote Monitoring And Control System For Barley Growth Based On LabVIEW

With the continuous development of modern agriculture in China, the development of agricultural monitoring technology has made considerable progress,meanwhile, because of the performance requirements in field production and facilities environmental monitoring are getting higher and higher, which promote the in-depth research on the intelligent field monitoring technology. Barley is an important raw material of beer production, and Gansu has one of the largest barley cultivation areas in China, in order to implement the agricultural field management measures and to increase production and income, it is needed to grasp the field growth status in time.In this paper, based on the principle of Virtual Instrument design principles, a set of remote monitoring system was designed and developed for barley growth on Lab VIEW and NI Vision platform. At the same time, the collected images were processed by machine vision technology for recognition of the main barley diseases in this paper. The thesis mainly presented the following aspects of the research work:1. Combined with the actual field environment, the network architecture of barley field monitoring system was designed, and then the software and hardware development platform and network communication protocol were selected, at last the development environment of the host computer was determined in the monitoring system.2. Choosing Lab VIEW as software development platform of the barley monitoring system, the human-computer interaction interface was developed with the user management function, the image transmission and parameter setting were also realized. The paper also realized the barley remote monitoring by Panels Remote technology, developed the monitoring interface, achieved the remote reception about the video image capture using camera of the barley field, and displayed the real-time images in the remote client.3. In the paper the barley growth information monitoring center was developed.After the Microsoft Access database was established, in addition to the function of managing users, searching and deleting and processing the collected barleyimages,and compressing and storing and displaying in partition were all realized.4. Using Lab VIEW Application Builder, the final installation package was generated, which is convenient for users to install the developed Lab VIEW software.5. After image segmentation and feature extraction of barley images were carried out by Vision Assistant 2011, the BP neural network was used to recognize the diseases in barley images.6. The actual test results of system performance showed that the video transmission rate of the system is more than 1Mb/s, and 16 fps at 320×240 pixel image quality are achieved. The individual barley stem and leaf color, texture and groups are showed normally from monitored barely field. The video images of collection and transmission play smoothly and clearly. The field monitor pixels, color and processing meet the requirements of identification of pets and diseases, which have reached the monitoring design standards.