贾彪,马富裕.基于机器视觉的棉花氮素营养诊断系统设计与试验[J].农业机械学报,2016,47(3):305-310.
Jia Biao,Ma Fuyu.Design and Experiment of Nitrogen Nutrition Diagnosis System of Cotton Based on Machine Vision[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(3):305-310.
摘要点击次数: 1029
全文下载次数: 519
基于机器视觉的棉花氮素营养诊断系统设计与试验   [下载全文]
Design and Experiment of Nitrogen Nutrition Diagnosis System of Cotton Based on Machine Vision   [Download Pdf][in English]
投稿时间:2015-09-28  
DOI:10.6041/j.issn.1000-1298.2016.03.043
中文关键词:  棉花  营养诊断  生长监测  机器视觉  远程服务平台
基金项目:国家自然科学基金项目(31560339)和宁夏大学博士启动基金项目(BQD2014011)
作者单位
贾彪 宁夏大学 
马富裕 石河子大学 
中文摘要:采用数码相机和CCD数字摄像头为图像监测设备,融合机器视觉技术,集成数字图像处理技术、农业物联网技术、Web远程控制技术、信息传输服务技术和数据库管理技术等构建了远程服务系统平台。通过2年试验对棉花的生长状况进行实时跟踪监测,获取其冠层图像,运用数字图像处理技术对棉花群体冠层图像进行分割,筛选棉花长势监测与氮素营养诊断反应敏感的特征颜色参数覆盖度,构建了覆盖度与棉花地上部总含氮量间的关系模型。研究结果表明,覆盖度与棉花地上部总含氮量间指数函数模型相关性最高,其决定系数为0.978,根均方差为1479g/m2。依据棉花覆盖度与氮素营养诊断的最佳模型,搭建了棉花长势长相监测中心(田间监测)、网络信息服务控制中心(服务器)、图像分析与数据处理中心、决策诊断与评价中心以及用户浏览中心,形成一个大型环式“一网三层五中心”棉花监测管理诊断体系,初步实现对棉花生长信息和氮素营养状况快速准确的监测与诊断。
Jia Biao  Ma Fuyu
Ningxia University and Shihezi University
Key Words:cotton  nutrition diagnosis  growth monitoring  machine vision  remote service system platform
Abstract:Machine vision technology has been well developed and widely used to monitor crop growth and diagnosis the nitrogen status of crops. A system that combines machine vision technology and near ground remote sensing to monitor crop growth and nitrogen status was established. The system, which should be convenient, efficient, practical and widely applicable, could provide a new theoretical basis and technical support for crop monitoring. The objectives of this study were to calibrate a remote service system platform for monitoring cotton growth and nitrogen nutrient status. The platform involves machine vision technology, digital image recognition segmentation processing technology, agricultural internet of things technology, Web network information transmission service technology, and remote database management technology. In this study, the nitrogen nutrient status of cotton being real time monitored by two year experiment data. Color images of cotton canopies were captured with a digital camera fitted with a charged coupled device (CCD) as an image sensor. An image analysis approach was developed to extract the feature parameters canopy cover of the images. The model described the relationship between the canopy cover and total nitrogen content of cotton aboveground. The results indicated that the best relationship between canopy cover and aboveground total nitrogen content had an R2 value of 0.978 and an RMSE value of 1479g/m2. The platform provides users with access to the cotton growth monitoring center (field monitoring), the network information service control center (server), the image analysis and data processing center, the diagnostic decision making and evaluation center, and the user browsing center. Based on computer vision technology, this “one network, three server layers, and five centers” system can be used to remotely monitor cotton growth and nitrogen status. In conclusion, digital cameras have good potential as a near ground remote assessment tool for monitoring cotton growth and nitrogen status.

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.

   下载PDF阅读器