A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0

Symeonaki, Eleni; Arvanitis, Konstantinos G.; Piromalis, Dimitrios

doi:10.3390/app10030813

Cited by 88 publications

(56 citation statements)

References 94 publications

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“…Research on Agriculture 4.0 is mainly concentrated on automation and robotics [ 66 , 67 ], food and sustainability [ 11 , 14 , 62 ]. While studies on operations management, inspired by the concept of Industry 4.0, are limited.…”

Section: Related Workmentioning

confidence: 99%

“…IoT is also one of the key technologies for Agriculture 4.0 [ 11 ]. This concept appeared at the beginning of the 21st century, as an evolution of the PA concept through the diffusion of IoT [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…Several studies highlight the potential of Agriculture 4.0, such as improvements in planning and control [ 17 ], intelligent use of data collected by using advanced technologies mounted on board tractors, mobile ground robots, unmanned aerial vehicles (UAVs) and satellites [ 18 ] and sustainable growth [ 11 ]. Others highlight the challenges to be solved.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

Monteleone

Moraes

Faria

et al. 2020

Sensors

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In recent years, the concept of Agriculture 4.0 has emerged as an evolution of precision agriculture (PA) through the diffusion of the Internet of things (IoT). There is a perception that the PA adoption is occurring at a slower pace than expected. Little research has been carried out about Agriculture 4.0, as well as to farmer behavior and operations management. This work explores what drives the adoption of PA in the Agriculture 4.0 context, focusing on farmer behavior and operations management. As a result of a multimethod approach, the factors explaining the PA adoption in the Agriculture 4.0 context and a model of irrigation operations management are proposed. Six simulation scenarios are performed to study the relationships among the factors involved in irrigation planning. Empirical findings contribute to a better understanding of what Agriculture 4.0 is and to expand the possibilities of IoT in the PA domain. This work also contributes to the discussion on Agriculture 4.0, thanks to multidisciplinary research bringing together the different perspectives of PA, IoT and operations management. Moreover, this research highlights the key role of IoT, considering the farmer’s possible choice to adopt several IoT sensing technologies for data collection.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

Monteleone

Moraes

Faria

et al. 2020

Sensors

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show abstract

“…Based on this system, they developed an automatic cognitive health assessment application in a natural older adult living environment [15]. Eleni et al focused on the issue of facilitating the management, process, and exchange of the numerous and diverse data points generated in multiple precision farming environments by introducing a framework with a cloud-based context-aware middleware solution as part of a responsive, adaptive, and service-oriented IoT integrated system [16]. In [17], an architecture for building and running context-aware smart classrooms was proposed.…”

Section: Context-aware Computingmentioning

confidence: 99%

The Development of a State-Aware Equipment Maintenance Application Using Sensor Data Ranking Techniques

Lee

2020

Sensors

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Billions of electric equipment are connected to Internet of Things (IoT)-based sensor networks, where they continuously generate a large volume of status information of assets. So, there is a need for state-aware information retrieval technology that can automatically recognize the status of each electric asset and provide the user with timely information suitable for the asset management of electric equipment. In this paper, we investigate state-aware information modeling that specializes in the asset management of electric equipment. With this state-aware information model, we invent a new asset state-aware ranking technique for effective information retrieval for electric power and energy systems. We also derive an information retrieval scenario for IoT in power and energy systems and develop a mobile application prototype. A comparative performance evaluation proves that the proposed technique outperforms the existing information retrieval technique.

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“…It can also furnish various real-time data of their farming land, identifying specific production patterns or identifying any associated risk factors during cultivation and harvesting season. Adopting PA also facilitates exclusive access to the agricultural records via cloud-based resources where the data can be accessed anytime and anywhere [8]. It also leads to an adequate formulation of measures towards crop protection.…”

Section: Introductionmentioning

confidence: 99%

Emerging Line of Research Approach in Precision Agriculture: An Insight Study

Vanishree¹,

Nagaraja²

2021

IJACSA

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The present state of agriculture and its demand is very much different than what it used to be two decades back. Hence, Precision Agriculture (PA) is more in demand to address this challenging demand. With consistent pressure to develop multiple products over the same agricultural land, farmers find PA's adoption the best rescue-based solution with restricted resources. PA accelerates the yield and potentially assists in catering up the demand of scarcity of demands of food. With the increasing adoption of PA-based technologies over farming, there are best possibilities to explore efficient farming practices and better decision-making facilitated by real-time data availability. There isan evolution of various novel technologies to boost agricultural performance, i.e. variable rate technology, Geomapping, remote sensing, automated steering system, and satellite positioning system. Apart from this, it is also observed that Internet-of-Things (IoT) and Wireless Sensor Network (WSN) have been slowly penetrating this area to acceleratePA's technological advancement. It is noticed that the adoption of sensing technology is a common factor in almost all the techniques used in PA. However, there is no clear idea about the most dominant approach in this regard. Therefore, this paper discusses existing approaches concerning standard conventional PA and sensing-based PA using WSN. The study contributes towards some impressive learning outcomes to state that WSN and IoT are extensive to boost PA.

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A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0

Cited by 88 publications

References 94 publications

Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

The Development of a State-Aware Equipment Maintenance Application Using Sensor Data Ranking Techniques

Emerging Line of Research Approach in Precision Agriculture: An Insight Study

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