Study Of Wheat Powdery Mildew Growth Model Based On Shape And Color Characteristics

Wheat is widely planted,it is the most important commodity and strategic reserve grain in China,and ensuring wheat yield is an important part to maintain Chinese food security.Powdery mildew is a disease that has a great influence on the growth of wheat.It has the characteristics of common onset,wide area and obvious yield reduction.At present,the control of wheat powdery mildew is mostly confined to traditional agricultural research methods,which not only consumes a lot of time and energy of agricultural personnel,but also causes deeper disease impact because it cannot obtain timely and efficient access to disease information.In order to effectively curb the harm of powdery mildew to wheat,relevant scholars at home and abroad have done a lot of in-depth research on wheat powdery mildew based on image processing technology,and obtained a series of research results.In this paper,the wheat powdery mildew image with JPEG format is taken as the research object,and the image processing technology is used to analyze the image of the wheat powdery mildew with a growth cycle.The shape and color characteristics of the powdery mildew are extracted in growth process.The growth function model was constructed based on the change of characteristic parameter data,and the dynamic model about the time variable and the variation of the characteristic parameters in the powdery mildew cycle was established.Through the constructed growth model,the changing law of wheat powdery mildew is accurately predicted,the digital judgment of disease growth and development stage is realized,and the research on agricultural precision in China is promoted.The main work aspects of this study are as follows:1.The wheat powdery mildew image was preprocessed and segmented by image processing technology.First,the image was preprocessed to attenuate the noise and enhance the image information.Second,according to the difference between the background and the color RGB of the target object,threshold segmentation was combined with morphological processing to extract and segment a single powdery mildew lesion image.2.According to the extraction and segmentation of the single powdery mildew lesion images,the change rules of wheat powdery mildew growth cycle were connected,and the shape and color characteristic parameters of the spot were defined.3.Data analysis was carried out on the defined shape and color characteristic parameters,and the most obvious characteristic parameters during the growth of wheat powdery mildew were screened out.4.The growth model was introduced to describe the evolution of various characteristics of powdery mildew development cycle.The characteristic growth function model was constructed by fitting,and the relationship model between the growth time variable and characteristic parameters of wheat powdery mildew was established.Thus,the growth cycle of wheat powdery mildew can be judged and identified,and promotes the development of digital agriculture.In this study,the shape and color characteristics of wheat powdery mildew were extracted based on image processing technology,and the growth model of characteristic was constructed,which can efficiently determine the disease growth and provide theoretical support for the growth of wheat powdery mildew.