使用大数据分析的物联网垂直农业监控系统

Javvaji Gopi Chand, Kodati Susmitha, A. Gowthami, Kambhampati Manohar Chowdary, SK. Khaleel Ahmed
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引用次数: 2

摘要

今天的世界正在发展着非常伟大的技术,世界上的每一个问题都有解决方案和服务。需要我们更多关注的一个部门是农业部门。食物是我们身体的基本和重要的来源。如今,随着人口增长率的增长和粮食产量的减少。由于工业目的或任何其他问题,这正在减少。与人口需求所需的土地相比,目前分配给农业用途的土地非常少。垂直种植是解决这个问题的一种方法,植物在垂直堆中种植,可以在任何建筑或容器中进行。我们正在实施CEA技术,可以对农业的温度和湿度等环境因素进行控制和监测。我们正在利用物联网将我们的技术与我们的农业设备连接起来。该系统主要用于温度、湿度、ph等因素的监测和自动化,以及作物产量、植株健康、精度等因素的监测和自动化。都被考虑在内。这些数据将被上传到云端,并通过大数据分析使用各种算法进行分析,以便其他人可以利用这些数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IOT-Enabled Vertical Farming Monitoring System Using Big Data Analytics
Today's world is moving with very great kind of technologies and there are solutions and services being developed for each and every problem in the world. One of the sector which require more of our attention is the agriculture sector. Food is the basic and important source to our body. Nowadays, with increase in population-rate and decrease in food production. This is being reduced due to industrial purposes or due any other issues. The land that is allotted for agriculture purpose is currently very less when compared to the land that is needed for population requirements. Vertical farming is one of the solution that can be implemented to overcome this problem, where the plants are grown in vertical stacks and it can be done in any building or container. We are implementing CEA technology where the environmental factors such as temperature and humidity of the agricultural can be controlled and monitored by us. We're making use of IOT in order to connect our technology to our farming setup. The system was designed to monitoring and automation of factors such as temperature, humidity and pH. Several factors such as crop yield, health of the plant, accuracy etc... are taken into consideration. These data will be uploaded into the cloud and analyzed by Big Data Analytics using various algorithms so that other people can make use of the data.
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