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A Novel Method for Water irrigation System for paddy fields using ANN

机译:基于ANN的稻田灌溉系统的一种新方法。

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摘要

In our country farmers have to face many difficultiesudbecause of the poor irrigation system. During floodudsituation, excessive waters will be staged in paddy fieldudproducing great loss and pain to farmers. So, properudIrrigation mechanism is an essential component of paddyudproduction. Poor irrigation methods and crop managementudare rapidly depleting the country’s water table. Most smalludhold farmers cannot afford new wells or lawns and they areudlooking for alternative methods to reduce their waterudconsumption. So proper irrigation mechanism not only leadsudto high crop production but also pave a way for water savingudtechniques. Automation of irrigation system has theudpotential to provide maximum water usage efficiency byudmonitoring soil moistures. The control unit based onudArtificial Neural Network is the pivotal block of entireudirrigation system. Using this control unit certain factors likeudtemperature, kind of the soil and crops, air humidity,udradiation in the ground were estimated and this will help toudcontrol the flow of water to acquire optimized results.
机译:在我国,由于灌溉系统差,农民不得不面对许多困难。在洪灾/旱灾期间,稻田会积水过多,给农民造成巨大的损失和痛苦。因此,适当的灌溉机制是水稻生产的重要组成部分。灌溉方法和作物管理不善,使该国的地下水位迅速枯竭。大多数小城镇农民买不起新的水井或草坪,他们正在寻找替代方法以减少其水的用水量。因此,适当的灌溉机制不仅导致作物高产,而且为节水技术铺平了道路。灌溉系统的自动化具有通过监测土壤水分提供最大水利用效率的潜力。基于人工神经网络的控制单元是整个灌溉系统的关键模块。使用此控制单元,可以估算某些因素,例如高温,土壤和农作物的种类,空气湿度,地面的辐射,这将有助于控制水流以获得最佳结果。

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