An intelligent data acquisition and service system for apple orchard was developed for acquiring apple tree growth information in time and managing orchard production remotely.The data of fruit tree growth environment were collected by Portable Digital Assistant(PDA)through the ZigBee Wireless Sensors Network(WSN)deployed in the apple orchard.The collected data were packaged and uploaded following the transportation protocol through the web service interface provided by the orchard server.After that the orchard data were parsed and stored using distributed mechanism.Finally,the data could be processed,analyzed and visualized by the cloud orchard server,and the orchard production decisions based on WebGIS technology could be made as well.Hence the users could access the services provided by the network platform via remote mobile or fixed terminals.The system operation test showed that the whole process was stable and reliable,during which intelligent data collection,storage,and cloud data processing and publishing services were achieved.
针对中国水稻施肥机械化程度低,传统撒施肥料利用率低、施肥量大的现状,结合侧深施肥农艺特点,对风送式排肥方法进行了理论分析,研制了风送式水稻侧深精准施肥装置。该装置采用模块化设计与乘坐式插秧机配套使用,采用电机驱动排肥、风送肥料、全球定位系统(global position system,GPS)测速的工作原理,侧位深施化肥的施肥方式,采用车辆行驶速度与排肥驱动电机转速实时匹配的精准施肥控制方法。设备在黑龙江七星农场开展了田间实际作业试验。试验表明,该装置与插秧机配合使用时能一次性完成插秧与侧深精准施肥作业,当预置施肥量为300 kg/hm2,车辆稳定行驶速度为1 m/s时,施肥量偏差控制在5.82%以内,能够较好的满足实际生产需求。该研究为开展水稻变量施肥控制技术研究和水稻侧深施肥装置的研发提供了参考。
