Review of IoT applications in agro-industrial and environmental fields

Talavera, Jess Martn; Tobn, Luis Eduardo; Gmez, Jairo Alejandro; Culman, María; Aranda, Juan; Parra, Diana Teresa; Quiroz, Luis Alfredo; Hoyos, Adolfo; Garreta, Luis Ernesto

doi:10.1016/j.compag.2017.09.015

Cited by 408 publications

(223 citation statements)

References 54 publications

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“…Here, IoT devices are used to measure and evaluate the condition of atmosphere, bio mass of animal and plant and soil. But, not limited to these variables, it can be expanded to check temperature, production of crop, growth of plant, and minerals requirement of soil and plant (Talavera et al, ). Healthcare IoT devices are available for monitoring, diagnosing and to perform remote surgery.…”

Section: Iot Architecturementioning

confidence: 99%

“…To try hands‐on experience on IoT concept and demonstrate the methods for setting up IoT environment over Internet, Pfister () sails through step‐by‐step process using .NET micro framework and Netduino Plus Board with some examples. For instance, to simulate data forwarding among nodes in IoT environment, it requires high level of interoperability (physical/virtual entities interacting each other) and demands hardware‐software usability to accomplish linking resources and synchronization of events (Li, Da Xu, & Zhao, ; Shahid & Aneja, ; Talavera et al, ; Yin, Zeng, Chen, & Fan, ). For example, Figure contains 10 elements, which are interconnected.…”

Section: Iot Data Processing Infrastructurementioning

confidence: 99%

See 1 more Smart Citation

Internet of Things: A primer

Paul

Jeyaraj

2019

Hum Behav & Emerg Tech

115

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We admire the emerging technologies that fascinate us, as it has become part of our daily life. Internet of Things (IoT) plays a major role in simplifying human effort. It leaps forward taking the advantages of latest wireless devices and communication technologies. IoT is a combination of technologies such as ubiquitous and pervasive computing, wireless communication devices and sensors, Internet protocol, and others. IoT logically interconnects and interoperates physical objects (sensors, wired/wireless communication devices) and virtual objects (web applications, virtual machines) over existing Internet infrastructure. IoT collects and records heterogeneous data (such as documents, images, videos, audios, and others) from heterogeneous applications (such as CCTV, medical images, barcode reader, and others) with the help of Internet. People, physical objects, and virtual objects are logically connected to the network to observe and analyze for decision‐making. Therefore, IoT has transformed to be an important evolving technology and inevitable in every sectors.

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Section: Iot Architecturementioning

confidence: 99%

Section: Iot Data Processing Infrastructurementioning

confidence: 99%

Internet of Things: A primer

Paul

Jeyaraj

2019

Hum Behav & Emerg Tech

115

View full text Add to dashboard Cite

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“…Our framework allows users to set the data sources: The nearest weather station, the moisture sensors (analog or digital), the type of crop, and the features of the irrigation system in the monitored field. Therefore, Smart&Green also contributes to the solution of another challenge in applying IoT for the purpose of smart agriculture: The integration of the actual infrastructure of the users (i.e., devices, machines, and software) [9].…”

Section: Introductionmentioning

confidence: 99%

Smart & Green: An Internet-of-Things Framework for Smart Irrigation

Campos

Rocha²,

Gondim

et al. 2019

Sensors

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Irrigation is one of the most water-intensive agricultural activities in the world, which has been increasing over time. Choosing an optimal irrigation management plan depends on having available data in the monitoring field. A smart agriculture system gathers data from several sources; however, the data are not guaranteed to be free of discrepant values (i.e., outliers), which can damage the precision of irrigation management. Furthermore, data from different sources must fit into the same temporal window required for irrigation management and the data preprocessing must be dynamic and automatic to benefit users of the irrigation management plan. In this paper, we propose the Smart&Green framework to offer services for smart irrigation, such as data monitoring, preprocessing, fusion, synchronization, storage, and irrigation management enriched by the prediction of soil moisture. Outlier removal techniques allow for more precise irrigation management. For fields without soil moisture sensors, the prediction model estimates the matric potential using weather, crop, and irrigation information. We apply the predicted matric potential approach to the Van Genutchen model to determine the moisture used in an irrigation management scheme. We can save, on average, between 56.4% and 90% of the irrigation water needed by applying the Zscore, MZscore and Chauvenet outlier removal techniques to the predicted data.

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“…Data is getting a central tenant in computing applications where data collection, processing, and inference are of vital importance. Most of these ideas have been realized and deployed in the numerous smart-x applications including smart cities, smart transport, smart environment [32] and many others. These application are based on pervasive data science which focuses on data in pursuit of the concept of ubiquitous computing.…”

Section: Introductionmentioning

confidence: 99%

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis

Korotin

Khromov

Stepanov

et al. 2019

2019 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computing, Scalable Computing &Amp; Commu

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eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used for the data collection and further analysis. In this paper, we present a sensing system for enabling the data collection from professional athletes. Also, we report on the case study about collecting and analyzing the gaze data from Monolith professional eSports team specializing in Counter-Strike: Global Offensive (CS:GO) discipline. We perform a comparative study on assessing the gaze of amateur players and professional athletes. The results of our work are vital for ensuring eSports data collection and the following analysis in the scope of scouting or assessing the eSports players and athletes.

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Review of IoT applications in agro-industrial and environmental fields

Cited by 408 publications

References 54 publications

Internet of Things: A primer

Internet of Things: A primer

Smart & Green: An Internet-of-Things Framework for Smart Irrigation

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis

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