Intelligent Ubiquitous Sensor Network for Agricultural and Livestock Farms

Lee, Junghoon; Kim, Hye-Jin; Park, Gyung-Leen; Kwak, Ho‐Young; Kim, Cheol Min

doi:10.1007/978-3-642-24669-2_19

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…Furthermore, we review usage of smartphone-based sensors in agriculture in order to increase farmers' awareness of numerous applications that can be used in their farming cycle without having to purchase new dedicated devices. We, therefore, decided to exclude articles in which smartphones are used only as a remote terminal to monitor and control other external sensors, for example, external temperature and humidity sensors as in [42,43]. In many cases, it is still not clear from a full text review if any built-in sensors are used in the applications.…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research

2015

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Smartphones have become a useful tool in agriculture because their mobility matches the nature of farming, the cost of the device is highly accessible, and their computing power allows a variety of practical applications to be created. Moreover, smartphones are nowadays equipped with various types of physical sensors which make them a promising tool to assist diverse farming tasks. This paper systematically reviews smartphone applications mentioned in research literature that utilize smartphone built-in sensors to provide agricultural solutions. The initial 1,500 articles identified through database search were screened based on exclusion criteria and then reviewed thoroughly in full text, resulting in 22 articles included in this review. The applications are categorized according to their agricultural functions. Those articles reviewed describe 12 farming applications, 6 farm management applications, 3 information system applications, and 4 extension service applications. GPS and cameras are the most popular sensors used in the reviewed papers. This shows an opportunity for future applications to utilize other sensors such as accelerometer to provide advanced agricultural solutions.

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Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research

2015

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“…To do this, the protocol defined a time zone of a day, season, and data traffic rating and uses as classified contexts and proposed an algorithm to control data transmission of sensor nodes according to the changes of the contexts in ubiquitous agricultural environments. Lee et al [6] proposed a method to make intellectual USN for agricultural Livestock farm. Hwang and Yoe [7] suggested a context-aware agricultural system, in which a farmer can easily and conveniently control and manage a pig farm according to various contexts generated from sensors and devices deployed in the pig farm through a smart phone.…”

Section: Introductionmentioning

confidence: 99%

An Agricultural Expert Cloud for a Smart Farm

Cho

Shin

et al. 2012

Lecture Notes in Electrical Engineering

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In agricultural environments, know-how and experience of skillful agricultural experts, who may are farmers, researchers, market analysts, distribution specialists, and so on, have been more important roles than ever. Especially, for farmers newly trying to cultivate a high value crops, the knowledge and the experience of experts for the crops will be very important factors for successful cultivation. So, for higher productivity and better quality, the valuable information has to be able to be supplied easily and quickly to a user in agricultural environments. Cloud computing technologies may suggest a potential service model to do that through Internet and various state-of-edge technologies based on IT. In this paper, we introduce a service model based on an agricultural expert Cloud to support a smart farm service in ubiquitous agricultural environments. The introduced service is based an expert system, in which the knowledge and the experience of the various fields related in agriculture is accumulated. So, by easily gaining the valuable knowledge and experience about a specific crop through the

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“…Mobile devices are used in agriculture mainly to control drones [ 4 ] or vehicles on land [ 5 ], to create ways to store information [ 6 ], or to connect to a network of wireless sensors, in order to manage, store, and upload each one of the measurements to the cloud in real time [ 7 ]. However, mobile devices work as tools for acquisition and processing of information, as well as, control and monitoring of the mentioned information.…”

Section: Introductionmentioning

confidence: 99%

Sensor Fusion of a Mobile Device to Control and Acquire Videos or Images of Coffee Branches and for Georeferencing Trees

Giraldo

Aguirre²,

Muñoz

et al. 2017

Sensors

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Smartphones show potential for controlling and monitoring variables in agriculture. Their processing capacity, instrumentation, connectivity, low cost, and accessibility allow farmers (among other users in rural areas) to operate them easily with applications adjusted to their specific needs. In this investigation, the integration of inertial sensors, a GPS, and a camera are presented for the monitoring of a coffee crop. An Android-based application was developed with two operating modes: (i) Navigation: for georeferencing trees, which can be as close as 0.5 m from each other; and (ii) Acquisition: control of video acquisition, based on the movement of the mobile device over a branch, and measurement of image quality, using clarity indexes to select the most appropriate frames for application in future processes. The integration of inertial sensors in navigation mode, shows a mean relative error of ±0.15 m, and total error ±5.15 m. In acquisition mode, the system correctly identifies the beginning and end of mobile phone movement in 99% of cases, and image quality is determined by means of a sharpness factor which measures blurriness. With the developed system, it will be possible to obtain georeferenced information about coffee trees, such as their production, nutritional state, and presence of plagues or diseases.

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Intelligent Ubiquitous Sensor Network for Agricultural and Livestock Farms

Cited by 7 publications

References 10 publications

Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research

Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research

An Agricultural Expert Cloud for a Smart Farm

Sensor Fusion of a Mobile Device to Control and Acquire Videos or Images of Coffee Branches and for Georeferencing Trees

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