Data Management and Integration of Low Power Consumption Embedded Devices IoT for Transforming Smart Agriculture into Actionable Knowledge

Ouafiq, El Mehdi; Saadane, Rachid; Chehri, Abdellah

doi:10.3390/agriculture12030329

Cited by 33 publications

(10 citation statements)

References 51 publications

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“…Data Integration and Analytics. Data collected by drones are integrated with advanced analytics and farm management software [ 114 , 115 ]. This integration allows farmers to make data-driven decisions, optimize inputs, and continually improve farming practices for sustainable agriculture.…”

Section: Applications Of Copter Dronesmentioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

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This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.

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Section: Applications Of Copter Dronesmentioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

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“…This study is based on the methodology outlined in [13,14], which is used to adaptively linearize sensor transfer functions. This approach simplifies the design and improves the measurement accuracy of sensors and Internet of Things (IoT) devices, especially those with limited resources [15,16].…”

Section: Introductionmentioning

confidence: 99%

Generalized Approach to Optimal Polylinearization for Smart Sensors and Internet of Things Devices

Marinov,

Dimitrov

2024

Computation

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This study introduces an innovative numerical approach for polylinear approximation (polylinearization) of non-self-intersecting compact sensor characteristics (transfer functions) specified either pointwise or analytically. The goal is to partition the sensor characteristic optimally, i.e., to select the vertices of the approximating polyline (approximant) along with their positions, on the sensor characteristics so that the distance (i.e., the separation) between the approximant and the characteristic is rendered below a certain problem-specific tolerance. To achieve this goal, two alternative nonlinear optimization problems are solved, which differ in the adopted quantitative measure of the separation between the transfer function and the approximant. In the first problem, which relates to absolutely integrable sensor characteristics (their energy is not necessarily finite, but they can be represented in terms of convergent Fourier series), the polylinearization is constructed by the numerical minimization of the L1-metric (a distance-based separation measure), concerning the number of polyline vertices and their locations. In the second problem, which covers the quadratically integrable sensor characteristics (whose energy is finite, but they do not necessarily admit a representation in terms of convergent Fourier series), the polylinearization is constructed by numerically minimizing the L2-metric (area- or energy-based separation measure) for the same set of optimization variables—the locations and the number of polyline vertices.

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“…The transmission of multimedia content over Wireless Sensor Networks (WSNs) poses significant challenges due to the need for Quality of Service (QoS) guarantees, such as high bandwidth availability, stringent delay requirements, and minimal data loss. In recent times, wireless multimedia sensor networks (WMSNs) have adopted a cross-layer methodology to enhance the transmission of multimedia data across wireless sensor networks (WSNs) under various wireless conditions [3]. This work aims to develop an adaptive cross-layer approach that enables efficient transmission of multimedia data over Wireless Sensor Networks (WSNs) while concurrently conserving energy resources.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient and Reliable High Quality Video Transmission Architecture for Wireless Sensor Networks

2024

Teh. vjesn.

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Due to advancements in the technology, video transmission is a key feature in several applications. The transmission of the video from the source to the sink is quite different from the transmission of images-based data. The transmission of the video over the wireless sensor network is not an easy task with the available protocols. They have several disadvantages related to the energy efficiency and the reliability. Novel architecture namely high-quality video transmission architecture has been proposed in this paper. This is an energy efficient architecture. To conserve the energy during the transmission, this architecture does not support retransmission of the packets. But the dropping of the packets helps in improving the reliability and the life time of the network. This architecture majorly involves three layers namely the application layer, the network layer and the transport layer. The transmission of the data packets is based on the priority levels. Moving Picture Experts Group (MPEG -2) technologies is used in the proposed work. Two different frames namely the key frame and the variant frame are used to prioritize the packets. The data packets with the highest priority from the variant frame is transmitted first and then followed by the data packets of the key frame. The data is segmented into smaller units and discrete cosine transform is applied over each unit. The inter link between the transport layer, application layer and the network layer is analysed by means of the state diagram. The results have been tabulated and depicted by means of graphical representations. Comparative analysis has been made between the proposed high quality video transmission architecture and the diversified architecture. The proposed method has been found to have produced comparatively better results and possesses a high quality video transmission with enhanced Peak Signal to Noise Ratio (PSNR) and reduces energy consumption.

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Data Management and Integration of Low Power Consumption Embedded Devices IoT for Transforming Smart Agriculture into Actionable Knowledge

Cited by 33 publications

References 51 publications

A Review on the State of the Art in Copter Drones and Flight Control Systems

A Review on the State of the Art in Copter Drones and Flight Control Systems

Generalized Approach to Optimal Polylinearization for Smart Sensors and Internet of Things Devices

Energy Efficient and Reliable High Quality Video Transmission Architecture for Wireless Sensor Networks

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