利用arduino实现农田智能生产的自动化灌溉系统

Manjunathan Alagarsam, Sterlin Rani Devakadacham, Hariharan Subramani, Srinath Viswanathan, Jazizevelyn Johnmathew, K. Suriyan
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引用次数: 8

摘要

农业对印度等农业国家的繁荣至关重要。因此,建议的策略是使用自动化和物联网(IoT)技术使农业智能化。物联网的应用包括灌溉决策辅助、作物生长监测和选择等。这是一种由arduino驱动的技术,可以提高农业生产率。这项研究的主要目标是找到种植作物所需的最少水量。大多数农民在田里浪费了大量的时间,而不是把精力集中在植物在适当的时候可以获得的水上。建议的系统根据从传感器获得的数据确定所需的水量。两个传感器向基站提供土壤温度、湿度、每天的日照量和土壤温度等数据。建议的系统必须根据这些标准确定灌溉所需的水量。该系统的主要优点是将精准农业(PA)与云计算相结合,这将最大限度地利用水肥,同时最大限度地提高作物产量,还有助于确定田间天气条件。
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Automation irrigation system using arduino for smart crop field productivity
Agriculture is essential to the prosperity of agricultural countries like India. Thus, the suggested strategy is to use automation and internet of thing (IoT) technology to make agriculture smart. Applications enabled by the IoTs include irrigation decision assistance, crop growth monitoring and selection, and more. an Arduino-powered technology that boosts agricultural productivity. This study's main goal is to find the least quantity of water necessary to grow crops. Most farmers squander a lot of time on the fields rather than concentrating on the water that plants have access to at the right moment. The suggested system determines the required amount of water based on the data obtained from the sensors. Two sensors provide data on the soil's temperature, humidity, amount of sunlight each day, and soil temperature to the base station. The suggested systems must determine the amount of water required for irrigation based on these criteria. The system's main benefit is the use of precision agriculture (PA) in conjunction with cloud computing, which will maximise the use of water fertilisers while maximising crop yields and also assist in determining field weather conditions.
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