路文超,赵 勇,罗 斌,潘大宇,王 成.基于Android手机的水稻剑叶角测量系统[J].农业机械学报,2015,46(11):296-301.
Lu Wenchao,Zhao Yong,Luo Bin,Pan Dayu,Wang Cheng.Measurement System of Rice Flag Leaf Angle Based on Android Smart Phone[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(11):296-301.
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基于Android手机的水稻剑叶角测量系统   [下载全文]
Measurement System of Rice Flag Leaf Angle Based on Android Smart Phone   [Download Pdf][in English]
投稿时间:2015-03-18  
DOI:10.6041/j.issn.1000-1298.2015.11.040
中文关键词:  水稻剑叶角 测量系统 Android手机 图像处理 K-means聚类
基金项目:公益性行业(农业)科研专项经费资助项目(201203026)、国家高技术研究发展计划(863计划)资助项目(2012AA10A503)和北京市自然科学基金资助项目(4142019)
作者单位
路文超 北京农业智能装备技术研究中心 
赵 勇 国家农业智能装备工程技术研究中心农业部农业信息技术重点实验室 
罗 斌 北京农业智能装备技术研究中心农业部农业信息技术重点实验室 
潘大宇 农业部农业信息技术重点实验室农业智能装备技术北京市重点实验室 
王 成 北京农业智能装备技术研究中心农业部农业信息技术重点实验室 
中文摘要:为了快速、无损地测量水稻剑叶角,设计了基于Android智能手机的便携式水稻剑叶角无损测量系统。采用智能手机后置摄像头获取水稻剑叶基部图像,经过图像预处理、直线检测、K-means聚类和向量方法等处理过程,得到水稻剑叶角。基于Android编程技术对系统软件进行设计,实现了在Android平台下利用JNI和Android NDK调用基于OpenCV库的剑叶角提取图像处理算法,实现了新建试验、材料信息输入、摄像头获取剑叶基部图像、计算输出剑叶角及保存数据等界面操作流程。利用该测量系统在田间对4个品种的80株水稻进行剑叶角测量试验,以验证系统性能。试验结果表明,和人工用量角器测量结果相比,该系统测量的平均绝对误差为1.34°,相对误差为2.7%,测量值和真实值相关系数为0.997,能有效测量剑叶角。
Lu Wenchao  Zhao Yong  Luo Bin  Pan Dayu  Wang Cheng
Beijing Research Center of Intelligent Equipment for Agriculture,National Research Center of Intelligent Equipment for Agriculture;Key Laboratory of Agri-informatics, Ministry of Agriculture,Beijing Research Center of Intelligent Equipment for Agriculture;Key Laboratory of Agri-informatics, Ministry of Agriculture,Key Laboratory of Agri-informatics, Ministry of Agriculture;Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture and Beijing Research Center of Intelligent Equipment for Agriculture;Key Laboratory of Agri-informatics, Ministry of Agriculture
Key Words:Rice flag leaf angle Measurement system Android phone Image processing K-means clustering
Abstract:In order to measure the rice flag leaf angle rapidly and nondestructively, a portable system for measuring rice flag leaf angle based on Android smart phone was developed. The rear camera of the smartphone was used for flag leaf images acquisition, and the flag leaf angle was obtained through image preprocessing, lines detection, K-means clustering and vector method. The interfaces and function modules of system software were designed by using the Android programming technology, which realized the extraction algorithm of rice flag leaf angle using JNI and Android NKD to call OpenCV database in the Android platform. It can complete the operational flows of new test establishing, material information inputting, flag leaf images obtaining, angle value outputting as well as interface saving. 80 plants of rices in four varieties were tested to verify the system performance. The test results demonstrated that, comparing with the measurement results of protractors, the average absolute error of this system was 1.34°, the relative error was 2.7%, and the correlation coefficient between the observed values and actual values was 0.997. It was indicated that the proposed system could effectively measure the rice flag leaf angles.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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