【作者】 黄婷婷；

【导师】 刘占良；

【作者基本信息】 河北农业大学 ， 农业机械化工程， 2012， 硕士

【摘要】 精确农业已成为国际上发达国家面向21世纪,合理利用农业资源,提高农产品产量和品质,降低生产成本,改善生态环境和农业可持续发展的最富有吸引力的前沿热点领域。它的实质是基于信息和知识来精细管理复杂的农业系统,并且实现了因地制宜、因作物、因时间全面平衡施肥,有明显的经济和环境效益。其中如何快速准确的获取农田信息成为了精细农业研究的一个难点。叶绿素是作物生长中的重要因素,是植物营养胁迫、光合作用能力和生长状况的良好指示剂。实时、可靠的作物营养诊断是进行科学施肥管理的基础,也是实践精细农业的关键技术之一。本论文针对目前农作物营养成分检测过程中主要存在的工作量大,费用高等问题,结合我国的实际情况,对远程测量油菜叶绿素含量的系统设计方案进行了开发和研究。开发了一种油菜叶绿素无损检测仪器,该仪器可实现对叶绿素浓度的实时、快速、无损检测。由于检测农作物叶绿素含量没有专用的传感器,传统化学方法测时往往受设备限制,存在制样和分析时间长、不便于无损检测的等缺点,本论文通过近红外光谱分析方法获取油菜叶片的光谱信息;区别于近红外光谱的实验室检测惯例,将Zigbee无线通信技术应用于无线测量农作物营养成分中,提出一种采用Zigbee无线通信技术传输油菜叶片光谱信息的设计方案。然后对获得的光谱信息进行滤波等预处理,然后采用二元线性回归法建立了植物叶片叶绿素含量与叶片吸收光谱的定量分析模型。BURR BROWN公司生产的单片光电二极管OPT101组成光电探测器,叶绿素含量标准值采用日本Minolta公司生产的SPAD-502仪测定, STC89C516RD+单片机作为系统主控制,无线通信模块处理器选择CC2430完成数据传输。最后利用该模型对预测集样本进行预测。预测集中样本的预测值与参考值之间的相关系数为0.89,预测均方根误差为1.2 SPAD。实验结果表明,利用基于Zigbee技术的油菜叶绿素含量远程测量系统检测叶片叶绿素含量是可行的,实现了油菜叶片叶绿素含量的快速无损检测,对精确施肥具有指导意义。更多还原

【Abstract】 Precision agriculture has become a focus of concern for developed countries being confronted with 21 st century, utilizing reasonably agricultural resource, improving quantity and quality of agricultural products, reducing producing cost,and improving environment and agricultural sustainable development. The essential of precision agriculture is precisely to manage complex agricultural system based on information and knowledge. Precision agriculture realizes work out measures to suit local conditions, suit crop and time comprehensive balanced fertilization, and has obvious economic and environmental benefits. How to acquire field information rapidly and precisely has become a difficult issue of precision agriculture. Chlorophyll is the important factors of the crop in its growth stage, and it is the favorable indicator of nutrition stress and photosynthesis. Site-specific crop nutrition diagnosis is the basics of the scientific fertilizer management, and it is essential for the practice of precision agriculture.Considering the presence problem of the heavy workload and high cost in crop nutrition component testing process, and the actual situation of our country, the remote measurement of rape chlorophyll content system design scheme were developed and studied in this thesis. A nondestructive measuring instrument for plant chlorophyll was developed, which can perform real-time, quick and nondestructive measurement of crop chlorophyll.Since no has special sensor in the detection of crop chlorophyll content, and the traditional chemical has the problems of restricted by the device, long time of sample preparation and analysis, and not convenient for nondestructive testing, this paper gets the rapes leaf spectral information using the near infrared spectra analysis techniques. From near infrared spectroscopy laboratory testing practices, this paper takes the Zigbee wireless communication technology implicating in wireless measuring crop nutrition composition, propounds the a design on transmuting of rape leaf spectral information by Zigbee wireless communication technology . Then the obtained spectral information were made filtering, and uses variables linear regression method was used to develop the quantitative analysis model for chlorophyll content with absorbance spectroscopy. Each leaf sample was spectrally scanned by OPT101 photo detector of BURR BROWN. Chlorophyll standard value of each rape leaf was measured by SPAD-502 meter, Minolta Camera, Japan. STC89C516RD+ Single chip microcomputer was selected as main controller; the wireless communication module processor selects CC2430 to complete data transmission.Finally, prediction samples were predicted by the model. The predicted value of the sample and reference values of correlation coefficients in prediction set sample is 0.89, and the root mean square error of prediction is about 1.2SPAD. It could be concluded that it is feasible to measure plant chlorophyll content based on Zigbee Remote Measurement System in the Chlorophyll Content of Rapes. It realizes rapid and nondestructive measurement of chlorophyll content, and it is also significant in precision fertilization in the future.更多还原