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IOT Based Precision Horticulture in North India

机译:印度北部基于物联网的精准园艺

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摘要

Horticulture incorporates a major impact on economy of the country. It is a subdivision of agriculture which deals with plant gardening under controlled environment. Heap of analysis has been dole out in automating the irrigation system by using wireless device and mobile computing. Conjointly analysis has been done in applying machine learning in Horticultural system too. Machine to Machine (M2M) communication is a growing technology that permits devices, objects to speak among one another and send knowledge to Server or Cloud through the Core Network. Therefore, consequently we tend to have developed a Brainy IOT primarily based machine-controlled Irrigation system. Wherever device knowledge is touching wet soil, temperature is captured and consequently machine learning algorithmic is deployed for analysing the device knowledge for prediction towards irrigating the soil with water or switching ON/OFF fan to control temperature. This can be a totally machine-controlled wherever devices communicate among themselves and apply the intelligence in real time monitoring & analysis. Making data available online through Cloud to Scientists to remotely make smart decisions on Precision Horticulture. System has been developed using low value embedded devices like Raspberry Pi3, Arduino and successfully implemented in Delhi.
机译:园艺业对该国的经济产生了重大影响。它是农业的一个分支,致力于在受控环境下进行植物园艺。通过使用无线设备和移动计算,在自动化灌溉系统中已花费了大量的分析资源。在园艺系统中将机器学习应用于应用的联合分析也已经完成。机器对机器(M2M)通信是一项正在发展的技术,它允许设备,对象相互讲话,并通过核心网络将知识发送到服务器或云。因此,因此,我们倾向于开发一种主要基于机器控制的灌溉系统的Brainy IOT。无论何时设备知识接触到潮湿的土壤,温度都会被捕获,因此采用了机器学习算法来分析设备知识,以预测用水灌溉土壤或切换开/关风扇来控制温度。只要设备之间相互通信并在实时监视和分析中应用智能,就可以完全由机器控制。通过Cloud将数据在线提供给科学家,以远程做出有关精密园艺的明智决策。系统是使用Raspberry Pi3,Arduino等低价值嵌入式设备开发的,并已在德里成功实施。

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