Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture

Rad, Ciprian-Radu; Hancu, Olimpiu; Takacs, Ioana Alexandra; Olteanu, Gheorghe

doi:10.1016/j.aaspro.2015.08.041

Cited by 126 publications

(58 citation statements)

References 10 publications

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“…Cyber Physical Systems refer to more advanced, next generation embedded Information and Communications Technology (ICT) systems. They share many similarities with IoT but with higher combination and coordination between physical and computational elements [28]. The US National Science Foundation (NSF) identified cyber-physical systems among the key research areas in the foreseeable future [29].…”

Section: ) Cyber Physical Systems and Iotmentioning

confidence: 99%

Applying Chatbots to the Internet of Things: Opportunities and Architectural Elements

Kar¹,

Haldar²

2016

ijacsa

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Abstract-Internet of Things (IoT) is emerging as a significant technology in shaping the future by connecting physical devices or things with the web. It also presents various opportunities for the intersection of other technological trends which can allow it to become even more intelligent and efficient. In this paper, we focus our attention on the integration of Intelligent Conversational Software Agents or Chatbots with IoT. Prior literature has covered various applications, features, underlying technologies and known challenges of IoT. On the other hand, Chatbots are a relatively new concept, being widely adopted due to significant progress in the development of platforms and frameworks. The novelty of this paper lies in the specific integration of Chatbots in the IoT scenario. We analyzed the shortcomings of existing IoT systems and put forward ways to tackle them by incorporating chatbots. A general architecture is proposed for implementing such a system, as well as platforms and frameworks -both commercial and open source -which allow for the implementation of such systems. Identification of the newer challenges and possible future research directions with this new integration have also been addressed.

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Section: ) Cyber Physical Systems and Iotmentioning

confidence: 99%

Applying Chatbots to the Internet of Things: Opportunities and Architectural Elements

Kar¹,

Haldar²

2016

ijacsa

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“…Real-time, large-scale assessment of crop conditions is conducive to precise control of crop growth and development [1,2,3,4]. It has important guiding significance in increasing production and improving crop quality.…”

Section: Introductionmentioning

confidence: 99%

Node Deployment with k-Connectivity in Sensor Networks for Crop Information Full Coverage Monitoring

Liu

Cao

Zhu

et al. 2016

Sensors

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Wireless sensor networks (WSNs) are suitable for the continuous monitoring of crop information in large-scale farmland. The information obtained is great for regulation of crop growth and achieving high yields in precision agriculture (PA). In order to realize full coverage and k-connectivity WSN deployment for monitoring crop growth information of farmland on a large scale and to ensure the accuracy of the monitored data, a new WSN deployment method using a genetic algorithm (GA) is here proposed. The fitness function of GA was constructed based on the following WSN deployment criteria: (1) nodes must be located in the corresponding plots; (2) WSN must have k-connectivity; (3) WSN must have no communication silos; (4) the minimum distance between node and plot boundary must be greater than a specific value to prevent each node from being affected by the farmland edge effect. The deployment experiments were performed on natural farmland and on irregular farmland divided based on spatial differences of soil nutrients. Results showed that both WSNs gave full coverage, there were no communication silos, and the minimum connectivity of nodes was equal to k. The deployment was tested for different values of k and transmission distance (d) to the node. The results showed that, when d was set to 200 m, as k increased from 2 to 4 the minimum connectivity of nodes increases and is equal to k. When k was set to 2, the average connectivity of all nodes increased in a linear manner with the increase of d from 140 m to 250 m, and the minimum connectivity does not change.

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“…Lee et al presented a five-layer architecture for industry 4.0 based CPS where the bottom layer incorporates sensor network and tether free communication [56]. Rad et al proposed a four-layer CPS architecture to be used in precision agriculture where sensing is at the base layer of the framework [72]. Cisco, IBM, and Intel presented a seven-layer IoT framework in IoT World Forum 2014 that is expected to be accepted as the reference framework for IoT/CPS by the industry.…”

Section: Infrastructure For Sensor Based Applicationsmentioning

confidence: 99%

TSensors Vision, Infrastructure and Security Challenges in Trillion Sensor Era

2017

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With the advancement of ubiquitous computing under the hood of Internet of Things (IoT) and Cyber-Physical Systems (CPS), the number of connected devices is expected to grow exponentially in the following decade. Pervasive sensing is the backbone of any IoT/CPS application. Billions of connected devices each having multiple sensors will lead us to the age of trillion sensors. Widespread use of sensors in critical applications (e.g., smart grid, agricultural industry, food production, etc.) will present us with unique challenges. Identifying the threats well before they occur will be the key in the race against the threats posed by the adversaries in the age of trillion sensors (TSensors). In this paper, we present a detailed survey of the trends toward trillion sensors, and their applicability in recent connected applications. We identify several key areas, that need to be addressed to build a secure connected environment. There are several challenges and limitations as well which are expected to rise in the coming decade. We must be proactive in addressing those challenges to make a safe and secure environment.

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Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture

Cited by 126 publications

References 10 publications

Applying Chatbots to the Internet of Things: Opportunities and Architectural Elements

Applying Chatbots to the Internet of Things: Opportunities and Architectural Elements

Node Deployment with k-Connectivity in Sensor Networks for Crop Information Full Coverage Monitoring

TSensors Vision, Infrastructure and Security Challenges in Trillion Sensor Era

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