智能灌溉:一种使用云、安卓和数据挖掘的智能滴灌系统

S. Ghosh, S. Sayyed, Kanchan Wani, M. Mhatre, H. A. Hingoliwala
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引用次数: 43

摘要

水是农业或灌溉中植物生长的重要组成部分。本文强调了需要一个外部托管的云计算平台来管理全国用户灌溉的数据库、android和隔离服务器。本文提出的系统利用信息和通信技术,允许用户考虑和检查不同传感器获得的信息。这里我们使用不同的传感器,如湿度、温度、湿度、光线等。这些传感器向微控制器发出信号。单片机通过串行通信将数据发送给隔离服务器。根据传感器值图形将显示在PC和智能手机端,并通过使用该图形用户可以打开或关闭滴漏设备。在这种情况下,我们为每个传感器保持阈值。数据在一个独立的服务器上发送和处理,该服务器将来自传感器的信息存储在数据库中,允许以简单灵活的方式进一步解释数据。计划中的系统可能会导致加强农业实践,克服水危机并为该国发展升级的农业系统。
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Smart irrigation: A smart drip irrigation system using cloud, android and data mining
Water is an essential component for the development of plants in agriculture or irrigation. The paper stresses on the need of an externally hosted cloud computing platform to manage the database, android and the isolated server by the users across the country for irrigation. The system proposed in this paper uses information and communication technologies, allowing the user to consider and examine the information obtained by different sensors. Here we are using different sensors like humidity, temperature, moisture, light etc. These sensors give signal to the micro controller. Micro-controller gives the data to the isolated server through a serial communication. According to sensor values graph will be display on PC and Smart phone side and by using this graph user can on or off drip devices. In this we keep threshold value for each sensor. The data is sent and processed on an isolated server, which stores the information from the sensors in a database, allowing further interpretation of data in a simple and flexible way. The intended system may lead to enhance the farming practices, overcoming the water crises and developing an upgraded agricultural system for the country.
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