Farm and environment information bidirectional acquisition system with individual tree identification using smartphones for orchard precision management

Farm and environment information bidirectional acquisition system with individual tree identification using smartphones for orchard precision management
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DOI:
10.1016/j.compag.2015.06.003
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发表时间:
2015-08
期刊:
Comput. Electron. Agric.
影响因子:
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通讯作者:
Jianping Qian;Xinting Yang;Xiao-Ming Wu;B. Xing;Baolin Wu;Ming Li
Jianping Qian;Xinting Yang;Xiao-Ming Wu;B. Xing;Baolin Wu;Ming Li
中科院分区:
其他
文献类型:
--
作者:
Jianping Qian;Xinting Yang;Xiao-Ming Wu;B. Xing;Baolin Wu;Ming Li

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果园精确管理系统对提高管理水平和提高决策能力具有重要作用。单株果树或果树微群落是果园的基本管理单元,环境和植物的双向信息是精确管理的重要内容。一种RFID标签被应用,其核心是UHF芯片,表面是QR码,用于单树识别。设计了一种基于智能手机的果园生产信息双向采集系统,包括正向采集的耕作信息和反向采集的环境信息。在耕作信息采集部分,建立了包括二维码图像采集、图像预处理、条形码解码和耕作信息采集的信息采集流程。在智能手机平台上,采用改进的局部阈值法提高QR码的识别率。在环境信息获取部分,设计了单树位置传感器搜索规则和多点环境值模型。果园信息双向采集系统是在Android平台上用Java语言开发的,具有QR码解码、农田记录信息采集、环境信息采集、数据上传和统计分析等功能。该系统在苹果果园进行了测试。总共选择了144棵树来解码树标签中的QR码。成功率约为96.52%。对所选的20棵树,85%的树的识别时间小于4s。例如,在计算温度时,每棵树周围的计算温度值和测量温度值之间的差异很小。该系统可以降低便携式RFID读写器等专业设备的成本,是一种低成本、高效率的果园生产信息采集解决方案。
An orchard precision management system plays an important role in improvement at the management level and the enhancement of decision abilities. A single orchard tree or an orchard tree microcommunity is the basic management unit, and bidirectional information on the environment and plants is the important content for precision management. A type of RFID label was applied with a UHF chip in the core and a QR code in the surface for single tree identification. A bidirectional acquisition system for orchard production, which included farming information collection for the forward direction and environmental information acquisition for the backward direction, was designed with smart phones. In the farming information collection part, information collection flow that included QR code image acquisition, image preprocessing, barcode decoding and farming information collection was established. An improved local threshold method was adopted to improve the QR code identification rate in the smart phone platform. In the environment information acquisition part, a sensor search rule on the single tree position and a multi-point environment value model were designed. The orchard information bidirectional acquisition system was developed on an Android platform with the Java language, which has the function of QR decoding, farm record information collection, environment information acquisition, data uploading and statistical analysis. The system was tested in an apple orchard. A total of 144 trees were chosen to decode the QR codes in the tree label. The success rate was approximately 96.52%. The identification time of 85% of the trees was less than 4 s for the 20 chosen trees. In taking the temperature, for example, the difference between the computed temperature value and the measured temperature value around each tree was small. The system could decrease the cost of the professional equipment, such as portable RFID readers and writers, which was a low-cost and high-efficiency solution for orchard production information collection.