黄瓜炭疽病精准检测系统的设计

发布时间：2018-10-24 12:28

【摘要】：农产品出口贸易的增加和国家惠农政策的大力实施,使得黄瓜种植趋势日益增长、发展迅猛。炭疽病作为黄瓜叶部主要病害之一,是黄瓜生长发育、基因遗传及稳定产量不可忽视的内容。目前对于炭疽病的检测基本凭借专家的肉眼观测与判定,无法给出病害的精准等级及对应的防治措施。本文结合黄瓜炭疽病在病害检测中的实际需求,研究设计可以精准判定黄瓜炭疽病病害等级的检测系统,以期能够使黄瓜种植者进行精准的病害等级判定,提高炭疽病病害的有效防治及处理效率,力求促进黄瓜的“少农药”“无公害”生产,为环境保护和人们的身体健康保驾护航。首先针对传统叶片面积测量中需要研究并亟待解决的问题,查阅大量有关叶面积计算的文献资料,提出一种便携式黄瓜炭疽病精准检测系统设计与实现的方案;其次采用以STM32为核心的嵌入式系统作为硬件平台,选取OV7670图像传感器对待测叶片进行图像采集,把采集到的图像用Matlab软件进行相应处理,包括图像分割、图像的灰度化、图像去噪及图像的二值化处理等,将处理过的叶片进行面积计算,包括整个叶片及病害部位的面积测算,根据二者比值计算出黄瓜炭疽病的病害等级;最后将处理后的叶片图像和计算出的叶片面积及病害等级显示在LCD显示屏上,结合专家辅助决策系统给出相应的病害防治措施。黄瓜炭疽病精准检测系统是在传统测量叶片面积基础上,增加了炭疽病病害面积的计算,并根据病害面积与完整叶片面积的比值,计算出黄瓜炭疽病的病害等级,为炭疽病病害等级的精准判定提供了便利,最终使黄瓜种植栽培工作效率得到提高,增加投入产出比。
[Abstract]:With the increase of export trade of agricultural products and the vigorous implementation of national agricultural policy, the growing trend of cucumber planting is increasing and developing rapidly. Anthracnose, as one of the main diseases of cucumber leaves, is the content of cucumber growth and development, genetic inheritance and stable yield can not be ignored. At present, the detection of anthracnose depends on the naked eye observation and judgment of experts, so it is impossible to give the accurate grade of the disease and the corresponding control measures. According to the actual demand of cucumber anthracnose in disease detection, this paper studies and designs a detection system that can accurately determine the disease grade of cucumber anthracnose, in order to make cucumber growers to accurately judge the disease grade. To improve the efficiency of effective control and treatment of anthracnose disease, to promote the production of "less pesticide" and "no pollution" of cucumber, and to protect the environment and the health of people. Firstly, aiming at the problems that need to be studied and solved urgently in traditional leaf area measurement, a portable accurate detection system for cucumber anthracnose is designed and implemented by consulting a large number of literatures about leaf area calculation. Secondly, the embedded system with STM32 as the core is used as the hardware platform, the OV7670 image sensor is selected to treat the blade to collect the image, and the collected image is processed with the Matlab software, including image segmentation and grayscale image. Image denoising and binary image processing were used to calculate the area of the processed leaf, including the whole leaf and the area of the disease site, and the disease grade of cucumber anthracnose was calculated according to the ratio of the two. Finally, the processed leaf image, the calculated leaf area and the disease grade are displayed on the LCD display screen, and the corresponding disease prevention measures are given in combination with the expert aided decision system. The precision detection system of cucumber anthracnose is based on the traditional measurement of leaf area, and increases the calculation of anthracnose disease area. According to the ratio of disease area to intact leaf area, the disease grade of cucumber anthracnose is calculated. It provided convenience for the accurate judgment of anthracnose disease grade, and finally improved the efficiency of cucumber cultivation and increased the input-output ratio.
【学位授予单位】：河北科技师范学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：S436.421.1;TP391.41

【参考文献】