A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network

Mahbub, Mobasshir

doi:10.1016/j.iot.2020.100161

Cited by 116 publications

(53 citation statements)

References 18 publications

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“…People can do all sorts of things online via smart connected devices. In a similar vein, Mahbub (2020) found that billions of people from around the world are connected to each other and share data online.…”

Section: Introductionmentioning

confidence: 90%

The Conundrum of Internet of Things Adoption in Higher Educational Institutions

Amy

Tan²,

Carter³

2020

RBAOS

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This study aims to extend the evaluation and understanding of an individuals’ adoption intention towards the Internet of Things (IoT) in a higher educational context and also to assess the relationship between Perceived Benefits, Digital Culture and Mindset, Technological Motivator, Technological Inhibitor and Attitude and how these factors relate to the adoption of Internet of Things (IoT) behavior. The research employed a quantitative and cross-sectional approach. A sample of 202 respondents from a Malaysian educational institution was collected through a self-designed questionnaire based on a snowball sampling technique. The data collected were analyzed using SmartPLS. The results indicate that attitude, technological motivator and digital mindset have a significant effect on the IoT adoption intention. Of these, attitude has the greatest influence with regard to the decision to adopt any IoT products or services. Digital mindset was a salient factor that explained user’s adoption intention behaviour on IoT technologies. Perceived benefits, however, showed insignificant direct effect whereas the technological inhibitor perspective affects the IoT adoption intention through attitude factor. The research provides further evidence that attitude and digital mindset built up within the individual are crucial elements to be considered in justifying the adoption behavior of IoT. The research findings show how the adoption of IoT could help academic staff and students leverage technologies' benefits to improve work and academic performance. It also highlights the importance of trust and builds the required attitude to support the technology to industry players. This study did not account for motivators such as incentives or influence from authority figures (leaders, top management, government and policy maker) as well as environmental conditions, namely the readiness of the infrastructure and the commonality of the usage in the social group.

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Section: Introductionmentioning

confidence: 90%

The Conundrum of Internet of Things Adoption in Higher Educational Institutions

Amy

Tan²,

Carter³

2020

RBAOS

View full text Add to dashboard Cite

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“…The main goal of this farm management approach is to efficiently reduce farm resources, limiting the cost of agricultural production, while maximizing the yield. To reach this goal, a network of intelligent sensor can be used to monitor and measure any change in plants, using a network of intelligent sensors [ 83 , 84 ]. In this context, the WSN system, composed of a limited number of nodes integrating radio frequency (RF) transceivers, micro-controllers, sensors, and power sources [ 100 ], can provide further support in gathering, controlling and monitoring of data [ 101 , 102 ].…”

Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

Internet of Robotic Things in Smart Domains: Applications and Challenges

Romeo

Petitti

Marani

et al. 2020

Sensors

110

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With the advent of the Fourth Industrial Revolution, Internet of Things (IoT) and robotic systems are closely cooperating, reshaping their relations and managing to develop new-generation devices. Such disruptive technology corresponds to the backbone of the so-called Industry 4.0. The integration of robotic agents and IoT leads to the concept of the Internet of Robotic Things, in which innovation in digital systems is drawing new possibilities in both industrial and research fields, covering several domains such as manufacturing, agriculture, health, surveillance, and education, to name but a few. In this manuscript, the state-of-the-art of IoRT applications is outlined, aiming to mark their impact on several research fields, and focusing on the main open challenges of the integration of robotic technologies into smart spaces. IoRT technologies and applications are also discussed to underline their influence in everyday life, inducing the need for more research into remote and automated applications.

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“…Mahbub's [21] WSN is based on Arduino devices that use WiFi for node communication, and the coordinator node uses GSM to send data to the cloud. It also uses a photovoltaic cell to power the nodes.…”

Section: State Of the Artmentioning

confidence: 99%

Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge

et al. 2020

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Over the last years, existing technologies have been applied to agricultural environments, resulting in new precision agriculture systems. Some of the multiple profits of developing new agricultural technologies and applications include the cost reduction around the building and deployment of them, together with more energy-efficient consumption. Therefore, agricultural precision systems focus on developing better, easier, cheaper, and overall more efficient ways of handling agricultural monitoring and actuation. To achieve this vision, we use a set of technologies such as Wireless Sensor Networks, Sensors devices, Internet of Things, or data analysis. More specifically, in this study, we proposed a combination of all these technologies to design and develop a prototype of a precision agriculture system for medium and small agriculture plantations that highlights two major advantages: efficient energy management with self-charging capabilities and a low-cost policy. For the development of the project, several prototype nodes were built and deployed within a sensor network connected to the cloud as a self-powered system. The final target of this system is, therefore, to gather environment data, analyze it, and actuate by activating the watering installation. An analysis of the exposed agriculture monitoring system, in addition to results, is exposed in the paper.

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A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network

Cited by 116 publications

References 18 publications

The Conundrum of Internet of Things Adoption in Higher Educational Institutions

The Conundrum of Internet of Things Adoption in Higher Educational Institutions

Internet of Robotic Things in Smart Domains: Applications and Challenges

Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge

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