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Green Thumb Engineering: Artificial intelligence for managing IoT enabled houseplants

机译:绿色拇指工程:用于管理IOT的人工智能使能的室内植物

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Many hobbies and household activities can be carried out with little effort, and without deeper understanding of the phenomenon at hand. Managing houseplants and herbs is such a hobby; one can simply provide water for plants and hope they would prosper. However, some people seem to have a better luck in maintaining their plants, while many fail and claim they do not possess a “green thumb”. Fortunately, this does not require magic, but engineering. We use innovative Internet of Things and artificial intelligence technologies to monitor and analyze moisture, humidity, luminosity and temperature levels to assist end users for optimization of environmental conditions for their houseplants, simultaneously increasing their understanding of plant life. For plant health monitoring, we construct a system yielding the normalized difference vegetation index, supported by visual validation by users. We run the system for a selected plant, basil, in varying environmental conditions to cater for typical home conditions in pursue of bootstrapping our artificial intelligence with the acquired data. For end users, we implement a web based user interface which provides both instructions and explanations.
机译:许多爱好和家庭活动都可以很少努力,而没有更深入地了解手头现象。管理室内和草药是如此的爱好;人们可以简单地为植物提供水,希望他们能够繁荣。然而,有些人似乎在维护他们的植物方面有更好的运气,而许多失败并声称他们没有“绿色拇指”。幸运的是,这不需要魔法,而是工程。我们使用创新的事物和人工智能技术互联网来监测和分析水分,湿度,光度和温度水平,以帮助最终用户了解其室内植物的环境条件,同时增加他们对植物生活的理解。对于植物健康监测,我们构建一种系统,其产生归一化差异植被指数,通过用户的视觉验证支持。我们为选定的工厂,罗勒运行系统,在不同的环境条件下,以满足典型的家庭条件,以便与所获得的数据引导我们的人工智能。对于最终用户,我们实现了基于Web的用户界面,它提供了两个指令和解释。

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