Technology On Remote Automatic Monitoring Of Crop Canopy Coverage And Height

In agriculture production process, through the monitoring of crop growth momentum for the measure, accurate information of their growth will learn timely, it may be provided a crop field management strategies as relevant basis and easy to field managers use appropriate methods to ensure the crops healthy growth, give great importance to its ultimate high-yield. This paper collected image through remote automatic monitoring system, then using digital image processing technology to accurate measure the coverage of the crop canopy and plant height, and do remote monitoring all-time.The main content of this paper is divided into three parts: study target and background of green plants extraction methods and calculate coverage of the crop canopy; Automatic calibration and plant height measurement technology based on multi segment pole recognition; Realization of remote automatic monitoring system.First, from the green crop target and background on the color differences, this paper do experiments about some of the more commonly used for the current color characteristic factor and comparative analysis of the experimental results, last use improved super green target extraction algorithm, this algorithm for crop target extraction of relative error is about 5.51%. for the calculation of the coverage, the paper first removed the illumination on the image, and then use an improved algorithm for super-green to gray image, the use of Otsu method to do two grayscale the value of the processing, and finally in the area of filtration method using holes processing, and then to calculate the coverage, the error rate is about 3.11%.Second, for the height measurement mostly failed to do automation, this paper use the versatility of scaleplate to determine the height of the bottom position in order to achieve automatic measurement. Firstly, the automatic calibration algorithm of two points identification is adopted to measure automatically, and the error is 2.33%, but if the shooting angle is too large, will lead to large error. Then use based on the identification of four points automatic calibration of plant height measurements, therelative error of the method to maintain the 1.75%. The experimental results show that, this method is made more accurate height. Taking into account the experimental equipment is relatively complex, finally, the paper realizes automatic calibration and plant height measurement technology based on multi segment pole recognition, error is 1.98%Third, for the difficulty of outdoor image transmission, the paper made a remote automatic monitoring system. By solar charger charge for smart switch, and then use small switch control wireless camera, the final transmission by wireless cameras back to the computer by the WIFI, do some image processing, then make the timeliness and accuracy of image capture.