Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture

Khanna, Abhishek; Kaur, Sanmukh

doi:10.1016/j.compag.2018.12.039

Cited by 551 publications

(213 citation statements)

References 25 publications

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“…In addition, Thysen (2000) forecasted that farmers will rely heavily on high‐bandwidth wireless internet connections to use ICT for the support and improvement of sustainability in the production process. In keeping with this forecast, mobile internet today is one of the key technologies enabling the proliferation of precision and smart farming technologies for sustainable agriculture (Khanna & Kaur, 2019; Sundmaeker, Verdouw, Wolfert, & Pérez Freire, 2016; Xin & Zazueta, 2016). With these technologies, farmers can reduce the ecological footprint from their farming activities.…”

Section: Introductionmentioning

confidence: 99%

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

et al. 2020

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Mobile internet is considered one of the most important developments in information and communication technology due to its considerable effect on both the economy and our daily lives. Furthermore, mobile internet is an essential tool for overcoming the rural–urban digital divide. With respect to agriculture, mobile internet can play a central role in information gathering as well as the implementation of precision and smart farming technologies. Yet, no study has identified the determinants of mobile internet adoption in agriculture. Using a bivariate probit model with a sample selection and a representative data set from 815 German farmers, this study showed that, among other characteristics, the age of the farmer, farm size and location, as well as familiarity with internet risks is associated with mobile internet adoption in agriculture. These results may be of interest to policy makers, who deal with internet infrastructure, and providers of farm equipment that rely on mobile internet connection. [EconLit citations: Q16].

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Section: Introductionmentioning

confidence: 99%

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

et al. 2020

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“…Depending on the characteristics of the environment where the implementation of the IoT system is carried out, securing the system may become a challenging task as different types of threats must be considered. Just as an example, in [3], a list of security threats and managing risks, is presented: vulnerable software/code, privacy threats, cloning of things, malicious substitution of things, eavesdropping attacks, man-in-the-middle attack, firmware attacks, extraction of private information, routing attack, elevation of privilege, and denial-of-service (DoS) attacks. Apart from the previously mentioned security threats, physical attacks that the IoT deployment may face are also possible.…”

Section: Discussionmentioning

confidence: 99%

“…This, together with the new wireless communication protocols specially designed for the exchange of information, allows the agricultural sector to equip itself with relatively cheap monitoring systems, capable of feeding information to decision support systems that allow decisions to be made about crop strategies and also allow resources to be saved. In [3], the authors demonstrate how precision agriculture and smart agriculture have evolved positively thanks to the application of these technologies. In addition, the authors of both [2,3] stress the need for security measures to ensure the quality of the data collected, as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Key Management to Secure IoT Wireless Sensor Networks in Smart-Agro

Hussein

Ramos

Bermejo

2020

Sensors

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With the deepening of the research and development in the field of embedded devices, the paradigm of the Internet of things (IoT) is gaining momentum. Its technology's widespread applications increasing the number of connected devices constantly. IoT is built on sensor networks, which are enabling a new variety of solutions for applications in several fields (health, industry, defense, agrifood and agro sectors, etc.). Wireless communications are indispensable for taking full advantage of sensor networks but implies new requirements in the security and privacy of communications. Security in wireless sensor networks (WSNs) is a major challenge for extending IoT applications, in particular those related to the smart-agro. Moreover, limitations on processing capabilities of sensor nodes, and power consumption have made the encryption techniques devised for conventional networks not feasible. In such scenario, symmetric-key ciphers are preferred for key management in WSN; key distribution is therefore an issue. In this work, we provide a concrete implementation of a novel scalable group distributed key management method and a protocol for securing communications in IoT systems used in the smart agro sector, based on elliptic curve cryptography, to ensure that information exchange between layers of the IoT framework is not affected by sensor faults or intentional attacks. In this sense, each sensor node executes an initial key agreement, which is done through every member's public information in just two rounds and uses some authenticating information that avoids external intrusions. Further rekeying operations require just a single message and provide backward and forward security.

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“…Internet of Things (IoT) is a new era in computing history, which literally denotes the interconnection of billions of pervasive and ubiquitous devices (things) equipped with sensing, computing, and communication capabilities . Due to the endless possibilities offered by machine‐to‐machine (M2M) communication and human‐machine interaction (HMI), there is a huge demand for various IoT applications, including military, health, surveillance, agriculture, manufacturing, billing, and 5G systems. As one of the prominent instantiations of IoT, smart grids (SGs) achieve accurate and efficient control over the power grid infrastructure and reliable information transmission .…”

Section: Introductionmentioning

confidence: 99%

Fog computing‐based privacy preserving data aggregation protocols

Okay

Özdemir

Xiao

2020

Trans Emerging Tel Tech

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As the number of active Internet of Things (IoT) devices increases, managing and securing the enormous amount of data generated by these devices become harder. With their always-connected smart meters and internet-enabled electrical appliances, smart grids (SGs) are major data generation sources in IoT. Traditional SGs store and process their collected data in centralized cloud servers. Secure data aggregation (SDA) protocols play an essential role in efficient and private data collection and storage in cloud-based SGs. Due to a high number of connected devices, centralized cloud-based SGs may become inadequate to satisfy the processing and storage needs of the collected data. This article introduces two efficient and lightweight SDA protocols for fog computing-based SGs (FCSG), namely, FCSG-DF and FCSG-P, as a complementary solution for processing and storage needs of cloud-based SGs. By leveraging the distributed nature and other extended capabilities of fog computing, the proposed SDA protocols have a better response time with less computational overhead. Moreover, the privacy of fine-grained energy consumption data is preserved with the help of the privacy-preserving data aggregation processes in the hierarchical fog computing structure of FCSG. Extensive performance evaluation results demonstrate that the proposed protocols have superiority in terms of data transmission and storage efficiency compared to cloud-assisted schemes without data aggregation. Both protocols are analyzed by comparing their success in transmission and storage efficiencies. Moreover, privacy analysis verifies that both protocols effectively ensure the privacy of the data in each layer.

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Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture

Cited by 551 publications

References 25 publications

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

Distributed Key Management to Secure IoT Wireless Sensor Networks in Smart-Agro

Fog computing‐based privacy preserving data aggregation protocols

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