Reasearch On Method Of Identifying Field Weed Applying Image Processing Technology

Weed infestation to crop is a question which people pay attention to all the while, at present main weeding method is applying herbicide, which not only can weed in fields, but also advance yield of crop. But for over-applying herbicide, on the one hand which increases cost of production, on the other hand which causes pollution to environment. To adapt to the request and need of precision agriculture, the paper fundamentally researched for weed identification.The research applied image processing technology to identify weed under complex soil background, the system included three parties. First, applying color feature increased the . contrast between green plants and soil, separated the plants from complex background and changed real color image to gray-level image. Secondly, Some algorithms of image threshold segmentation were researched and selected a suitable segmentation method, namely changing threshold segmentation, the algorithms could transfer gray-level image into binary image with stabilization and no distortion. Thirdly, a automatic identification system of weed wae built based on former two steps, which might identify weeds in image and carries out simulative spay to site-specific weed locations. The system was realized by morphological algorithm of image processing, which could obtain a better identification effect for some plant and weeds that are obviously different in figure. The whole system was developed through applying VC++6.0 language under the Windows2000 operating system, the processing speed of VC language is quick than the other language, so it fits for real-time processing request.The paper compared many algorithms during research, applied neighborhood filtering method and fast median filtering method to filter original images and gray-level images and eliminated effects of all kinds of noise to images. Some shape features parameters were also researched, these parameters are not correlated to image direction and image size, these researches would prepare for father identification research of weed and thereby perfect weed identification system.The approach that image color feature and shape feature was combined was important in field of weed identification, feasibility of the method has been validated in the research.The research of weed identification system had practical significance for suitable applying herbicide, enhancing automatic level of agriculture and protecting environment.Candidate: Liu Zhenheng Major: Agricultural electrization and automatization Supervisor: Prof .Zhang Changli...