A Crop Monitoring System Based on Wireless Sensor Network

Zhao, Liqiang; Yin, Shouyi; Liu, Leibo; Zhang, Zhen; Wei, Shaojun

doi:10.1016/j.proenv.2011.12.088

Cited by 112 publications

(47 citation statements)

References 4 publications

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“…Zhao et al [10] have proposed an application for agriculture called Crop Monitoring System using wireless sensor network. The application is designed by implementing nodes and building sensor networks.…”

Section: A Internet Of Things Smart Servicesmentioning

confidence: 99%

Secured Architecture for Integrated IoT Enabled Smart Services

Jerald*¹,

Rabara²,

Raj³

2019

IJRTE

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Internet of Things plays a significant role in the digital era, as it is to be the game changer in the IT industry. IoT facilitates users with ample number of smart applications and services by connecting billions of devices and objects both physical and virtual. The available IoT based smart services and the applications have its boundaries around a single domain or sector. It becomes tedious when the user wishes to avail different smart services and applications; the user has to request different service providers in various locations for their services. So, it is essential to integrate the IoT enabled services or applications for the user to avail anytime, anywhere and in any device. Security issues are more and different while integrating the IoT smart services by connecting variety of devices and objects. The envisaged security issues must be addressed in the effort of integrating IoT enabled smart applications and services. This paper proposes a novel secured architecture for integrated IoT enabled smart services and applications. The architecture proposed, addresses the integration of IoT enabled services and end to end security using ECC which enables the user to avail IoT services anywhere and anytime

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Section: A Internet Of Things Smart Servicesmentioning

confidence: 99%

Secured Architecture for Integrated IoT Enabled Smart Services

Jerald*¹,

Rabara²,

Raj³

2019

IJRTE

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“…This method has higher stability of sensor and power consumption is low. In modern days, powerful tool like vertical farming is used for measuring the environmental factors to enhance the crop yielding [6]. The extensive usage of the internet in past few decades has bought many advantages to the human life .The major advantage is collection and processing of large data in real-time through the internet.…”

Section: Literature Surveymentioning

confidence: 99%

IoT based Smart Farming using Cloud Computing and Machine Learning

Ramakrishna*,

Venkateshwarlu,

Srinivas

et al. 2019

IJITEE

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Internet of Things (IoT) is a most emerging and advanced technology that works on computing and communications. The survival of human beings in the world depends on the agricultural sector. The traditional agriculture methods are to be replaced with smart technologies. In order to minimize the cost, maintenance and monitoring the farms the technologies are used. The smart sensors sense the parameters like temperature, humidity, water level, soil nutrition’s and PH levels are monitored. In this paper IoT methods are used for smart farming

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“…Features such as large data volume, the efficiency of knowledge discovery, the accuracy of discovered knowledge, and discovery automation are all linked together, and have to be addressed together for reliable knowledge discovery (Soundararajan, Joseph, Jayakumar, & Somasekharan, ) in IoT networks. We group the IoT knowledge discovery types into two broad categories— Posteriori and Priori , such that Posteriori : The knowledge extending from experience, empirical evidence, or historical data is considered as a priori knowledge (Liqiang, Shouyi, Leibo, Zhen, & Shaojun, ). For example, the success of a crop harvest in a particular geographical and climatic region depends on historical data of the region's seasonal and climatic variations, water availability, and soil type.…”

Section: Knowledge Discovery For Iotmentioning

confidence: 99%

Knowledge discovery for enabling smart Internet of Things: A survey

Misra¹,

Mukherjee²,

Roy

2018

WIREs Data Min & Knowl

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The use of knowledge discovery on the Internet of Things (IoT) and its allied domains is undeniably one of the most indispensable ones, which results in optimized placement architectures, efficient routing protocols, device energy savings, and enhanced security measures for the implementation. The absence of knowledge discovery in IoT results in just an implementation of large‐scale sensor networks, which generates a huge amount of data, and which needs, an often under‐optimized, processing for actionable outputs. In this survey, we explore various domains of IoT for which knowledge discovery is inseparable from the application, and show how it benefits the overall implementation of the IoT architecture. This article is categorized under: Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Machine Learning Application Areas > Internet and Web‐Based Applications Algorithmic Development > Spatial and Temporal Data Mining

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A Crop Monitoring System Based on Wireless Sensor Network

Cited by 112 publications

References 4 publications

Secured Architecture for Integrated IoT Enabled Smart Services

Secured Architecture for Integrated IoT Enabled Smart Services

IoT based Smart Farming using Cloud Computing and Machine Learning

Knowledge discovery for enabling smart Internet of Things: A survey

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