Research On Weed Detection In Wheatland Using Machine Vision

Weed is one of the important factors, which damage the quality of the agricultural products. At present the method to weed is to spray the herbicide, and the means to spray is the well-distributed spraying. This method, not only improve the cost of agriculture but also damage the quality of field and pollute air. Study indicates that weed isn't well-distributed, so we should find a variable-controlling spraying method. It is to spray in the region where there are weed patches, and to stop in the region where there are not. In order to do so, the first thing is to realize the detection of weed patches. In this paper we study the method to detect the inter-row weeds in wheat field.Our study is based on experiment, which is to fix the CCD camera in a vehicle which can move along a rail in the lab. The camera is linked with the computer. Under the rail is the soil box where weed and wheat are planted. The vehicle is controlled by the electric-control-box. The image is processed in the computer and the result is the density of weed in the image, which control the spraying of herbicide.In this paper we do such works:1.gather the dynamic-state-image in the lab ;2.pre-process the image to remove the noise ;3.partition the plant from the soil;4.partition the weed with wheat, and count weed density.