【摘要】：農(nóng)產(chǎn)品出口貿(mào)易的增加和國家惠農(nóng)政策的大力實施,使得黃瓜種植趨勢日益增長、發(fā)展迅猛。炭疽病作為黃瓜葉部主要病害之一,是黃瓜生長發(fā)育、基因遺傳及穩(wěn)定產(chǎn)量不可忽視的內(nèi)容。目前對于炭疽病的檢測基本憑借專家的肉眼觀測與判定,無法給出病害的精準等級及對應(yīng)的防治措施。本文結(jié)合黃瓜炭疽病在病害檢測中的實際需求,研究設(shè)計可以精準判定黃瓜炭疽病病害等級的檢測系統(tǒng),以期能夠使黃瓜種植者進行精準的病害等級判定,提高炭疽病病害的有效防治及處理效率,力求促進黃瓜的“少農(nóng)藥”“無公害”生產(chǎn),為環(huán)境保護和人們的身體健康保駕護航。首先針對傳統(tǒng)葉片面積測量中需要研究并亟待解決的問題,查閱大量有關(guān)葉面積計算的文獻資料,提出一種便攜式黃瓜炭疽病精準檢測系統(tǒng)設(shè)計與實現(xiàn)的方案;其次采用以STM32為核心的嵌入式系統(tǒng)作為硬件平臺,選取OV7670圖像傳感器對待測葉片進行圖像采集,把采集到的圖像用Matlab軟件進行相應(yīng)處理,包括圖像分割、圖像的灰度化、圖像去噪及圖像的二值化處理等,將處理過的葉片進行面積計算,包括整個葉片及病害部位的面積測算,根據(jù)二者比值計算出黃瓜炭疽病的病害等級;最后將處理后的葉片圖像和計算出的葉片面積及病害等級顯示在LCD顯示屏上,結(jié)合專家輔助決策系統(tǒng)給出相應(yīng)的病害防治措施。黃瓜炭疽病精準檢測系統(tǒng)是在傳統(tǒng)測量葉片面積基礎(chǔ)上,增加了炭疽病病害面積的計算,并根據(jù)病害面積與完整葉片面積的比值,計算出黃瓜炭疽病的病害等級,為炭疽病病害等級的精準判定提供了便利,最終使黃瓜種植栽培工作效率得到提高,增加投入產(chǎn)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.
【學(xué)位授予單位】：河北科技師范學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S436.421.1;TP391.41

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