Context-aware control and monitoring system with IoT and cloud support

Dobrescu, Radu; Merezeanu, Daniel; Mocanu, Ştefan

doi:10.1016/j.compag.2019.03.005

Cited by 49 publications

(17 citation statements)

References 10 publications

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“…In [82], the authors proposed a real-time control of an irrigation system based on IoT platform for a five-hectares maximum size farm. The system is built on three main advanced technologies: IoT, cloud and a middleware mechanism for interfacing between them called context-aware platform.…”

Section: On Water Irrigationmentioning

confidence: 99%

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

2020

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Water plays a crucial role in the agricultural field for food production and raising livestock. Given the current trends in world population growth, the urgent food demand that must be answered by agriculture highly depends on our ability to efficiently exploit the available water resources. Among critical issues, there is water management. Recently, innovative technologies have improved water management and monitoring in agriculture. Internet of Things, Wireless Sensor Networks and Cloud Computing, have been used in diverse contexts in agriculture. By focusing on the water management challenge in general, existing approaches are aiming at optimizing water usage, and improving the quality and quantity of agricultural crops, while minimizing the need for direct human intervention. This is achieved by smoothing the water monitoring process, by applying the right automation level, and allowing farmers getting connected anywhere and anytime to their farms. There are plenty of challenges in agriculture involving water: water pollution monitoring, water reuse, monitoring water pipeline distribution network for irrigation, drinking water for livestock, etc. Several studies have been devoted to these questions in the recent decade. Therefore, this paper presents a survey on recent works dealing with water management and monitoring in agriculture, supported by advanced technologies. It also discusses some open challenges based on which relevant research directions can be drawn in the future, regarding the use of modern smart concepts and tools for water management and monitoring in the agriculture domain. INDEX TERMS Data analytics, internet of things, smart agriculture, water management, water monitoring, wireless sensor networks. II. FOUR CHALLENGES RELATED TO WATER MANAGEMENT IN AGRICULTURE We discuss four important challenges in water use in the agriculture domain (see Fig. 1). Each challenge motivates a significant shift from traditional water management solutions to smarter ones for higher efficiency, via the integration of modern technologies, e.g., WSN and IoT.

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Section: On Water Irrigationmentioning

confidence: 99%

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

2020

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“…It was observed that after training, the valves continuously change to an optimal frequency for opening, according to the injected material type. Optimizing CACS is also proposed by [86] in a real-time control and supervision of an industrial process of precision agriculture. It is proposed a multi-layered CAS that combines concepts as IoT, CA and Cloud computing.…”

Section: Smart Resource Managementmentioning

confidence: 99%

Context Aware Control Systems: An Engineering Applications Perspective

et al. 2020

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Cyber-physical systems revolve around context awareness, empowering objective-oriented services, products and operations based on real data. Self-aware and self-control systems are core elements in the Industry 4.0 framework towards self-sustainable adaptive manufacturing and personalized services. This development is witnessed by the context-aware pervasive assistance to users and machines in decisions making process for optimizing product performance and economic yield. While integration of the virtual and the physical world entails smart sensors communication and complex data analytics, it relies on artificial intelligence tools to manage process operations. The objective of the article is to create awareness that systems & control community must address theoretical and practical aspects from a larger perspective. Context aware control is emerging as a natural solution to maximize the use of available sensing instrumentation and the relatively low cost data logging, i.e. an important source for extracting information, interpreting and using context information and adapt its functionality to the current context of use. This article presents a concise overview of applications where context aware systems and control methodologies are relevant in the seven societal challenges acknowledged by European policy-makers: Digital Society;

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“…Thus, data from multiple sources could be analyzed and integrated with various models for crop production, food security and environ-mental change. (Tzounis, Katsoulas et al, 2017) This work presented an overview of recent IoT technologies, their current penetration in the agricultural sector, their potential value for future farmers and the challenges that IoT faces for its propagation in order to optimize production by many ways, including distributed and pervasive computing (Dobrescu, Merezeanu et al, 2019) This work controlled and monitored an irrigation system connected to an IoT platform to promote the integration of sensor networks and the Cloud. For these tasks, it was necessary to guarantee semantic interoperability, develop context recognition middleware, implement a structure for real-time control development, and maintain a monitoring management.…”

Section: [8]mentioning

confidence: 99%

Ubiquitous Computing in Precision Agriculture: A Systematic Review

Helfer

Barbosa

Martini

et al. 2019

AOL

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The applications of ubiquitous computing have increased in recent years, especially due to the development of technologies such as mobile computing and its integration with the real world. One of the challenges in this area is the use of context sensitivity. In agriculture, this can be considered as the context related to the environment, such as the chemical and physical aspects that characterize the different soil types. This scenario periodically changes due to factors such as climate, type of cultivar and soil management technique used, among other aspects. This article presents a systematic review on the research works that explore ubiquitous computing in precision agriculture, including which technologies are being currently applied and which gap scan still be researched. Nine scientific repositories were explored to find articles about precision agriculture and ubiquitous computing. As a result of this search and filtering process, 32 works were reviewed, analyzed and categorized between the years of 2009 and 2019. In general, the reviewed articles concentrate on problems arising from the communication between sensors and the management of context-sensitive data.

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Context-aware control and monitoring system with IoT and cloud support

Cited by 49 publications

References 10 publications

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions

Context Aware Control Systems: An Engineering Applications Perspective

Ubiquitous Computing in Precision Agriculture: A Systematic Review

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