Wireless sensor networks for agriculture

Internet of Things in agriculture, recent advances and future challenges

https://bura.brunel.ac.uk/bitstream/2438/17829/4/FullText.pdf

Big data analytics in supply chain management: A state-of-the-art literature review

The advent of Internet of Things (IoT) has shown a new direction of innovative research in agricultural domain. Being at nascent stage, IoT needs to be widely experimented so as to get widely applied in various agricultural applications. In this paper, I review various potential IoT applications, and the specific issues and challenges associated with IoT deployment for improved farming. To focus on the specific requirements the devices, and wireless communication technologies associated with IoT in agricultural and farming applications are analyzed comprehensively. Investigations are made on those sensor enabled IoT systems that provide intelligent and smart services towards smart agriculture. Various case studies are presented to explore the existing IoT based solutions performed by various organizations and individuals and categories according to their deployment parameters. Related difficulties in these solutions, while identifying the factors for improvement and future road map of work using the IoT are also highlighted.

/pdf/internet-of-things-for-smart-agriculture-technologies-2pwif7243q.pdf

Internet of things for smart agriculture: Technologies, practices and future direction

Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture The advances and improvements in CEA have promoted the scientific solutions for the efficient production of plants in populated cities and multi-story buildings Successful deployment of CEA for urban agriculture requires many components and subsystems, as well as the understanding of the external influencing factors that should be systematically considered and integrated This review is an attempt to highlight some of the most recent advances in greenhouse technology and CEA in order to raise the awareness for technology transfer and adaptation, which is necessary for a successful transition to urban agriculture This study reviewed several aspects of a high-tech CEA system including improvements in the frame and covering materials, environment perception and data sharing, and advanced microclimate control and energy optimization models This research highlighted urban agriculture and its derivatives, including vertical farming, rooftop greenhouses and plant factories which are the extensions of CEA and have emerged as a response to the growing population, environmental degradation, and urbanization that are threatening food security Finally, several opportunities and challenges have been identified in implementing the integrated CEA and vertical farming for urban agriculture
Keywords: smart agriculture, greenhouse modelling, urban agriculture, vertical farming, automation, internet of things (IoT), wireless sensor network, plant factories
DOI: 1025165/jijabe201811013210

Citation: Shamshiri R R, Kalantari F, Ting K C, Thorp K R, Hameed I A, Weltzien C, et al Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture Int J Agric & Biol Eng, 2018; 11(1): 1–22

/pdf/advances-in-greenhouse-automation-and-controlled-environment-59medfgp0f.pdf

Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture

Using data mining techniques for bike sharing demand prediction in metropolitan city

This research paper presents a rule-based regression predictive model for bike sharing demand prediction. In recent days, Pubic rental bike sharing is becoming popular because of is increased comfo...

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2020.1725789

A rule-based model for Seoul Bike sharing demand prediction using weather data

Application of the technology systems is growing in various fields and the agriculture is not an exception. Agriculture is also reaping the benefits of technological innovation which helps in quantitative and qualitative food production. Vertical farm, one of the agricultural practices, is considered to be the future of agriculture with the rate of population migrating into urban areas. Ubiquitous computing in agriculture is emerging remarkably in this fast processing pervasive environment, owing to wireless sensor network (WSN). Building a context aware system for the vertical farm is complex without the semantic interoperability between the Internet of things (IOT). In this paper, we propose a vertical farm ontology (VFO), an OWL based ontology model which helps in more understanding of the relationship between the domain factors. With the proposed model, the information from the Internet of things is recomposed as context information and made understandable for the other systems. For the sake of agriculture, we hope that our proposed model will pave great path for the development of smart and intelligent agricultural services.

https://journals.sagepub.com/doi/pdf/10.1155/2013/161495

A Smart Service Model Based on Ubiquitous Sensor Networks Using Vertical Farm Ontology

The services for a ubiquitous computing environment have to automatically provide users with adaptive services according to dynamically changing context information, which is obtained from both the users and their environment. Workflows used in business processes and distributed computing environments have supported service automation by connecting many tasks with rules and/or orderings. To adapt these workflows to ubiquitous computing, we must specify the context information on their transition conditions. In this paper, we propose uWDL, Ubiquitous Workflow Description Language, to specify the context information on the transition constraints of a workflow in order to support adaptive services. And it is designed based on Web services, which are standardized and independent of heterogeneous and various platforms, protocols, and languages. In order to verify the effectiveness of uWDL, we designed and implemented a scenario described with uWDL. And we demonstrated that the uWDL system provides users with autonomic services in ubiquitous computing environments.

Context-aware workflow language based on web services for ubiquitous computing

This paper introduces the simple method of the mathematical modeling and simulation of current-voltage characteristics for photovoltaic panel. The aim of this modeling is to simply the nonlinear I-V model of photovoltaic panel to easily apply the model to the circuit simulators such as SPICE. So this paper is finding the parameters for the nonlinear I-V equations based on only the data such as open circuit voltage, short circuit current, voltage and current at Maximum power point and temperature coefficient for voltage and current at the nominal condition or the standard test condition which are obtained from manufacturer's datasheet.

http://onlinepresent.org/proceedings/vol73_2014/22.pdf

Yongyun Cho

Papers

Using data mining techniques for bike sharing demand prediction in metropolitan city

A rule-based model for Seoul Bike sharing demand prediction using weather data

A Smart Service Model Based on Ubiquitous Sensor Networks Using Vertical Farm Ontology

Context-aware workflow language based on web services for ubiquitous computing

Simple Modeling and Simulation of Photovoltaic Panels Using Matlab/Simulink