Study On Appling Image Processing In Acquirement Of Canopy Information Of Summer Maize

Based on observations and recording by traditional means and digital camera, the dynamic growth and development of summer maize are observed, and the changes disciplinarian of nitrogen nourishment in different treatments is analyzed, and plant shape change analysised too. The color and shape features of summer maize have been obtained by image processing; based on the analysis of relations between value of tri-friut- leaf SPAD, leaf percentage nitrogen contents and plant Ipercentage nitrogen contents,the relations between color and chlorophyll content and nitrogen content are researched. Segmented the maize digtal picture by manual alternant means is decided for the segment means of the maize digtal pictures .based on analyzing the change disciplinarian of color and shape features of maize and relation between color feature and nutritional indexes, acquiring canopy information is established based on iamge processing. The following are the results and conclusions of this research:1. leaf area,dry matter weight ,chlorophyll and nitrogen content all have difference among treatments, and the difference between low nitrogen treatment and high nitrogen treatment are markedly;the plant height is more sensitive in low nitrogen treatments and have no difference high nitrogen; there are positive linear correlation between leaf chlorophyll and leaf nitrogen in all growth stadge as well as plant nitrogen content, but lower correlation between them in seedling stadge are not markedly than in the others.2. The method to obtain the digtal pictures of maize in field is established. The restrictive means to take the photos of maize in field is applied, when photos been taking ,a good weather is needed ,the sun radiant intensity have impact, the parameters of digtal cameraner required fixed .flash lamp are not t allowed to be used.and the distance of take phojoes anr been fixed.3. Anlyse the change of leavf length and leaf width with leaf sequence, and establise the models which can calculate the leaf area and biologic yield, the models are based on the shape features, disciplinarian of leaf length and width changing with leaf sequencea and the ratio length to width changing with leaf sequence.4. The color and shape features, which can token the different nitrogen levels, are abstracted and screened out in RGB color pattern and HIS color pattern. And establishe the method and model of diagnosing the status of summer maize which based on statistic color feature..5. Utilized leaf leagth and plant height which obtained by image processing, combined with the disciplinarian that leaf leangth and leaf width changed with leaf sequence, the model which used for calculating leaf area and biomass,the models are statistic significant.