Multi-agent based context aware information gathering for agriculture using Wireless Multimedia Sensor Networks

Bhanu, K N; Reddy, T. Bhaskara; Hanumanthappa, M.

doi:10.1016/j.eij.2018.07.001

Cited by 23 publications

(10 citation statements)

References 15 publications

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“…Within this context, the work presented by Brinis and Saidane as in [65] deals with the issue of introducing and evaluating two approaches that incorporate context awareness, in order to define a strategy for acquiring wireless sensory data from an agricultural parcel with optimum energy preservation. A corresponding approach is found as in [66] wherein Bhanu et al present a multi-agent-based method for wirelessly acquiring agricultural context-aware information sustained to increase the diversity and flexibility of the employed sensor types. Finally, an earlier work by Lee et al as in [67] introduced an architectural framework of ubiquitous sensor networks for agriculture and livestock farms involving a server-side context-aware middleware which systematically coordinates interactions between all components involved, improving in this way the reliability and rightness of sensory data.…”

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confidence: 99%

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

2020

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The adoption of Precision Farming (PF) practices involving ubiquitous computing advancements and conceptual innovations of “smart” agricultural production toward Agriculture 4.0 is a significant factor for the benefit of sustainable growth. In this context, the dynamic integration of PF facility systems into the Internet of Things (IoT) represents an excessive challenge considering the large amount of heterogeneous raw data acquired in agricultural environments by Wireless Sensor and Actuator Networks (WSANs). This paper focuses on the issue of facilitating the management, process, and exchange of the numerous and diverse data points generated in multiple PF environments by introducing a framework of a cloud-based context-aware middleware solution as part of a responsive, adaptive, and service-oriented IoT integrated system. More particularly, the paper presents in detail a layered hierarchical structure according to which all functional elements of the system cope with context, while the context awareness operation is accomplished into a cloud-based distributed middleware component that is the core of the entire system acting as a Decision Support System (DSS). Furthermore, as proof of concept, the functionality of the proposed system is studied in real conditions where some evaluation results regarding its performance are quoted.

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confidence: 99%

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

2020

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“…Camera is used for the identifying disease-infected plants, the inexpensive paired system (CCD). A context-aware multi-agent-based knowledge collection using WMSN for agriculture monitoring is proposed in [15]. There are three types of circumstances that are taken into account, such as crisis detection, chronological and computational history to classify diseased plants, weeds, fires, and soil fertility analysis based on soil parameters.Bi [16] develops an intelligent multimedia sensor network monitoring architecture and links different sensors to the monitoring network to monitor crop areas for one month It measures the ambient temperature and humidity of the crop area, the light intensity and carbon dioxide concentration and transmits the measurement data to the user.…”

Section: Wmsn In Agriculturementioning

confidence: 99%

Wmsn: Analysis of Agricultural Soil Environment Monitoring Using Wireless Multimedia Sensor Network

Manjula¹

2021

ITII

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This paper proposes an environmental monitoring for agriculture soil using Wireless Multimedia Sensor Network. WMSN is used to monitor the agriculture soil environment. In order to ensure optimal use of the sensor nodes in WMSN and accurate access to the collected data, the routing protocols with both energy efficiency and quality of service ( QoS) properties are necessary for the transmission of photo, video and scalar data. This paper proposes a priority aware energy efficient QoS based data transmission for agriculture soil environment and also detects the pest. It utilizes the available bandwidth and data rate in the best way and in order to be more energy efficient during data transmission. For performance analysis, the proposed system is simulated using Java and the results of the experiments suggest that the proposed algorithm is more efficient compared to other methods in terms of delay and energy consumption. The sink node provides the solution based on these collected values.

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“…The classical works of Weiser (1999) , Satyanarayanan (2001) , and Dey, Abowd & Salber (2001) defined the ubiquitous computing and context-aware computing. Since then, these concepts have been applied in different knowledge areas such in health ( Vianna & Barbosa, 2014 ; Vianna & Barbosa, 2019 ; Dias et al, 2020 ; Petry et al, 2020 ; Bavaresco et al, 2020 ), well-being ( Vianna, Barbosa & Pittoli, 2017a ), competence management ( Rosa et al, 2015 ), learning ( Barbosa et al, 2011 ; Wagner, Barbosa & Barbosa, 2014 ; Barbosa et al, 2014 ; Larentis et al, 2020 ), commerce ( Barbosa et al, 2016 ), accessibility ( Tavares et al, 2016 ; Barbosa et al, 2018 ), Smart Cities ( Rolim et al, 2016 ; Orrego & Barbosa, 2019 ; Matos et al, 2021 ), and agriculture ( De Souza et al, 2019 ; Bhanu, Reddy & Hanumanthappa, 2019 ; Helfer et al, 2020 ). The application of ubiquitous computing in project management coined the term Ubiquitous Project Management ( Filippetto et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Towards ubiquitous requirements engineering through recommendations based on context histories

Lima

Filippetto

Heckler

et al. 2022

PeerJ Computer Science

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The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations.

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Multi-agent based context aware information gathering for agriculture using Wireless Multimedia Sensor Networks

Cited by 23 publications

References 15 publications

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

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

Wmsn: Analysis of Agricultural Soil Environment Monitoring Using Wireless Multimedia Sensor Network

Towards ubiquitous requirements engineering through recommendations based on context histories

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