Farm management systems and the Future Internet era

Kaloxylos, Alexandros; Eigenmann, Robert; Teye, Frederick; Politopoulou, Zoi; Wolfert, Sjaak; Shrank, Claudia; Dillinger, Markus; Lampropoulou, Ioanna; Antoniou, Eleni; Pesonen, Liisa; Nicole, Huether; Thomas, Floerchinger; Alonistioti, Nancy; Kormentzas, George

doi:10.1016/j.compag.2012.09.002

Cited by 213 publications

(111 citation statements)

References 15 publications

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“…To deal with these aspects, an automatic decision-making-oriented analysis is required for large volumes of heterogeneous data collected from different sources [25][26][27][28].…”

Section: Related Workmentioning

confidence: 99%

A Framework for Knowledge Discovery from Wireless Sensor Networks in Rural Environments: A Crop Irrigation Systems Case Study

González‐Briones

Castellanos-Garzón

Mezquita

et al. 2018

Wireless Communications and Mobile Computing

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This paper presents the design and development of an innovative multiagent system based on virtual organizations. The multiagent system manages information from wireless sensor networks for knowledge discovery and decision making in rural environments. The multiagent system has been built over the cloud computing paradigm to provide better flexibility and higher scalability for handling both small-and large-scale projects. The development of wireless sensor network technology has allowed for its extension and application to the rural environment, where the lives of the people interacting with the environment can be improved. The use of "smart" technologies can also improve the efficiency and effectiveness of rural systems. The proposed multiagent system allows us to analyse data collected by sensors for decision making in activities carried out in a rural setting, thus, guaranteeing the best performance in the ecosystem. Since water is a scarce natural resource that should not be wasted, a case study was conducted in an agricultural environment to test the proposed system's performance in optimizing the irrigation system in corn crops. The architecture collects information about the terrain and the climatic conditions through a wireless sensor network deployed in the crops. This way, the architecture can learn about the needs of the crop and make efficient irrigation decisions. The obtained results are very promising when compared to a traditional automatic irrigation system.

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“…To deal with these aspects, an automatic decision-making-oriented analysis is required for large volumes of heterogeneous data collected from different sources [25][26][27][28].…”

Section: Related Workmentioning

confidence: 99%

A Framework for Knowledge Discovery from Wireless Sensor Networks in Rural Environments: A Crop Irrigation Systems Case Study

González‐Briones

Castellanos-Garzón

Mezquita

et al. 2018

Wireless Communications and Mobile Computing

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“…Cloud computing is the basic infrastructure that enables intelligent farming implementations such as scalable calculations, software, data access and storage services (Kaloxylos et al, 2012;Lakshmisudha et al 2016). Through cloud computing, large-scale data can be stored with low investment cost and instant access to this data becomes possible (Chavali 2014 • Real-time monitoring and guidance in agricultural production: Through cloud computing, agricultural production processes can be instantaneously viewed, controlled, and intervened immediately in the production process if required (Zhu et al 2013).…”

Section: Big Data and Cloud Computing In Agriculturementioning

confidence: 99%

“…By bringing together information from different sensors and RFID tags, IoT has unlimited potential application areas from monitoring of greenhouses to animals and agricultural machinery (Kaloxylos et al 2012). …”

Section: Internet Of Things and Drones In Agriculturementioning

confidence: 99%

Digital agriculture practices in the context of agriculture 4.0

Özdoğan¹,

Gacar²,

Aktaş³

2017

Pressacademia

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Purpose-Agricultural production is under heavy pressure based upon increasing world population and significant changes in the climate. In this study, the concept of digital agriculture practices and their effects on agricultural productivity is discussed. An evaluation of current circumstance is made through the cases of Doktar Inc. and Tarla.io which are digital agriculture companies located in Turkey. Methodology-This study has utilized case method to evaluate the current circumstance of digital agriculture applications in Turkey. Since digital agriculture is an area that is still in early development stage in Turkey, case method is one of the most suitable methods. 11 openended questions and subsequent interviews sent to Doktor Inc and Tarla.io General Managers via e-mail and answers are evaluated with other collected data. Findings-Digital agriculture applications are in the early development stage in Turkey. The companies that are discussed in the paper have made meaningful progress regarding raising awareness of farmers and other involved parts of agriculture sector in Turkey. While the penetration of the two companies is currently not enough both as volume and quantity, the applications used for digital agriculture by them are parallel with the applications in developed countries. Conclusion-Digital agriculture practices in Turkey have yet to be implemented in very limited, but there are steps to be taken to acceleration. To develop digital farming in Turkey, supports of government have strategic priorities. In this context, the development of a digital agriculture action plan and supporting of this strategy with related policies and implementations, like in the EU countries and USA, will enable the expansion of agricultural production vision in Turkey. Technopolis and incubation centers of universities will be able to transform the accumulated scientific knowledge into initiatives and create a digital agriculture-focused ecosystem.

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“…Esta placa monitorea variables ambientales y se aplica a sistemas agrícolas en granjas [47] y a las observaciones meteorológicas [48] entre otras. Está diseñado para que se acoplen los sensores de temperatura, humedad relativa, presión atmosférica, luminosidad, velocidad y dirección del viento, cantidad de lluvia, sensor de humedad del suelo y radiación ultravioleta.…”

Section: Placa De Agriculturaunclassified