Research On The Leavers Information Of Rice Based On Computer Vision

Leaf is the main organ for plant photosynthesis and transpiration. Blade information directly reflects the growth status of crops, which is very important to monitor the growth of crops. In this paper, the trend of precision agriculture guidance using computer vision technology, hoping to establish a more accurate and efficient measurement of leaf area and use of leaf color characteristic value of the features of SPAD(Soil Plant Analysis Development) values established by actual computer vision-based color and SPAD values of leaves prediction model. Based on the above purpose, the main contents of this paper include:In the process of measuring the rice leaf area, it's better to measure the leaf back than the leaf surface by using traditional computer vision techniques. Based on the above research, new method in measuring rice leaf area of computer vision measurement is explored; To analyze and solve the impact of the environment in field environment computer vision to obtain images and measurements of a number of key issues, making the use of computer vision, SPAD values of rice leaves to predict when the greater accuracy; In the above conclusions were established on the basis of a laboratory environment and field environment, the color characteristics of rice leaf SPAD value and the value of a simulation model and predict the SPAD value, and its accuracy is up to, respectively:97.5% and 96.59%;The main innovation of this paper is propose the rice leaf color grid analysis based on computer vision, which can divide the rice leaf surface into several regions, and analyze the color characteristics of each region, supplying the theoretical basis to the selection of SPAD sites.