Application Of Image Processing Technology In Prediction Of Wheat Yield

The paper is to obtain data from the test and relative fields and applicate image processing technology, in the same time analyse the relation about different nitrogen between wheat yields. The models about wheat yield building and preview were build The whole system was founded of basing on VC++6.0 language, it includes four parts: image pretreatment subsystem, imgae processing subsystem, wheat yield dynamic forecast subsystem and yield prediction subsystem.Conclusions are drawed as following:1, In the study, two wheat(Zhongyou9507 and Jing411) are used as the ecperimental varieties. Building the dynamical inspect model about some physiology indexes. Their yield building course is inspected by different physiology index. These physiology indexes main are leaf area index, biomass, tilling, plant SPAD, the last three leaf SPAD and plant N cumulate quantity, leaf Nitrogen(%) and grain Nitrogen(%) content. The wheat yield is dynamic inspect by above physiology indexes in whole course of wheat growth.2, By the exeperiment, according to the different Nitrogen content of Zhongyou9507 and Jing411(high Nitrogen, middle high Nitrogen, middle Nitrogen, middle low Nitrogen and low Nitrogen) builds dynamic forecast models of wheat leaf area index and chlorophll. The models applicate regressive analytical method step by step and subsection control and approach slowly and slowly. The two way veracity is tested about wheat yield forecast by statistical methods.3 , By image processing technology, obtain wheat's shape and color character parameter. The shape character parameter main is wheat leaf area index in image, and the color character parameters are red, green, blue, hue, lightness and saturation and so on. The system obtain these parameters and their statistical numbers, then combine the physiology index model at last can predict wheat yield indirectly.4, The study use the way of Euclid distances, cross of maps of distribution and direct dispersion way of wheat image, and compare the result of the three ways. In the system the way of Euclid distances is used to match image. By the detected image matching the last similar image in the image database, the system offer the forecast result of wheat yield. In the paper test some forecast data indicate the way can be used forecast wheat yield. ILAI to forecast wheat yield, relative hue value and wheat image color matching three methods are tested and appraised by statistical way.5, The study use relative color dispersion for deduce the image yawp of environment. The method is that the number of the dispersion between the hue of original image and environment error obtained by compare with uniform green bar stead of the hue original image. The statistical test proves this way has important meaning to processing image of extraventricular image.6,The system is come true by VC++6.0 language. In this system the user can choice different part by different needs. It includes different methods are choiced to wheat yield forecast, different physiology index dynamic inspect and forecast, image processing technology and image pretreatment technology part.