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An Intelligent Irrigation System with Voice Commands and Remote Monitoring of Field

机译:具有语音命令和现场远程监控的智能灌溉系统

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Agriculture sector is the backbone of Indian economy. With the advent of electric motors, the burden of manual irrigation by farmers has mitigated a lot. But still frequent power cuts and voltage fluctuations have affected the proper irrigation of fields in many remote areas. There have been several innovative efforts to automate the irrigation of fields. This study proposed an automatic irrigation system based on voice commands from an illiterate farmer. A separate module for speech to text conversion is interfaced to the farmers mobile. The module uses the Hidden Markov Model for speech recognition and a Field Programmable Gate Array (FPGA) or processor based system to store the texts. Besides this, the system also includes a wireless network based remote monitoring of the field's temperature and moisture. The voltage monitoring unit informs the farmer about the power availability in the field. The control unit is based on the Peripheral Interface Controller (PIC) controller and relays connected to the various valves. Controller shuts off the motor if the measured values of temperature and moisture have reached the prefixed levels. The proposed system would reduce the hardships of the farmer and helps in efficient utilization of water in the fields.
机译:农业部门是印度经济的支柱。随着电动机的出现,农民减轻了人工灌溉的负担。但是仍然频繁的停电和电压波动影响了许多偏远地区的田间灌溉。为了使田间灌溉自动化,已经进行了一些创新的尝试。这项研究提出了一种基于文盲农民的语音命令的自动灌溉系统。用于语音到文本转换的单独模块与农民移动设备接口。该模块使用隐马尔可夫模型进行语音识别,并使用现场可编程门阵列(FPGA)或基于处理器的系统来存储文本。除此之外,该系统还包括基于无线网络的现场温度和湿度远程监控。电压监视单元将田间的可用功率通知农民。该控制单元基于外围接口控制器(PIC)控制器和连接到各个阀的继电器。如果温度和湿度的测量值达到预定水平,控制器将关闭电动机。拟议的系统将减少农民的苦难,并有助于在田间有效利用水。

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