IOT Based Precision Horticulture in North India

B. Kumari, Ashwni Kumar
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引用次数: 1

Abstract

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.
印度北部基于物联网的精准园艺
园艺对这个国家的经济有重大影响。它是农业的一个分支,涉及在受控环境下的植物园艺。利用无线设备和移动计算技术对自动化灌溉系统进行了大量的分析。机器学习在园艺系统中的应用也进行了联合分析。机器对机器(M2M)通信是一项正在发展的技术,它允许设备、对象之间相互通信,并通过核心网络将知识发送到服务器或云。因此,我们倾向于开发一种基于机器控制的智能物联网灌溉系统。只要设备知识接触湿土壤,温度就会被捕获,从而部署机器学习算法来分析设备知识,以预测用水灌溉土壤或打开/关闭风扇以控制温度。这可以是一个完全由机器控制的设备之间的通信,并在实时监控和分析中应用智能。通过云让科学家可以在线获取数据,从而远程做出关于精准园艺的明智决策。系统采用低价值嵌入式设备如Raspberry Pi3、Arduino开发,并在德里成功实现。
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