Water Irrigation and Flood Prevention using IOT

Sarthak Gupta, Virain Malhotra, Vasudha Vashisht
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引用次数: 8

Abstract

India is one of the largest producers of agricultural products. Main source of India’s GDP is its vast agricultural produce that accounts to 16% of the total. About 58 percent of the India’s workforce is involved in agriculture. But due to variable climatic condition of the country farmers are unprepared for these harsh and inevitable conditions. The farmers don’t have any effective way to deal with natural disasters such as drought and flooding which results in damaging of the crop and steep loss to the farmers. This research paper proposes a system through which we can reduce the problems of the farmers by automated smart irrigation system in drought conditions and smart suction pump which will suck out the excess water during flooding conditions. A database will be maintained for thorough analysis of amount of water irrigated in the fields, measurement of amount of rainfall, amount of water sucked during flooding and humidity level of soil in timeline manner. This database will be used for prediction of such climatic conditions and informing the farmers to take appropriate measures so that they can reduce or nullify the losses under such conditions.
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利用物联网进行灌溉和防洪
印度是最大的农产品生产国之一。印度GDP的主要来源是其庞大的农产品,占总量的16%。大约58%的印度劳动力从事农业。但由于该国多变的气候条件,农民对这些严酷和不可避免的条件毫无准备。农民没有任何有效的方法来应对自然灾害,如干旱和洪水,导致农作物的破坏和农民的巨大损失。本文提出了一个系统,通过干旱条件下的自动智能灌溉系统和洪水条件下的智能吸水泵,可以减少农民的问题。将建立一个数据库,以全面分析农田的灌溉水量,测量降雨量,洪水期间的吸水量和土壤的湿度水平。该数据库将用于预测这种气候条件,并通知农民采取适当措施,以便他们能够减少或消除在这种条件下的损失。
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