Accuracy and Reliability of Data in IoT System for Smart  Agriculture

Omar, Nabilah; Zen, Hushairi; Aldrin, Nadia Nicole Anak; Waluyo, Waluyo; Hadiatna, Febrian

doi:10.30880/ijie.2020.12.06.013

Cited by 14 publications

(3 citation statements)

References 10 publications

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“…In 2019-2020, fintech (Priskarini et al, 2019), the internet of things (Masaong & Mas, 2019), and digital technology emerged (Berawi et al, 2019;Waskito et al, 2019). Smart agriculture (Ardiansyah et al, 2019;Omar et al, 2020;Wahyudi, 2021;Wijaya et al, 2021;Wulandari et al, 2020), digital health (Hanif et al, 2021;Sumaedi et al, 2021), and covid-19 (Chung et al, 2021;Tulungen et al, 2021) will be here in 2021-2022. The future research agenda can be seen from the results of the VOSViewers density visualization analysis (Fig.…”

Section: Resultsmentioning

confidence: 99%

Digital Economy in Indonesia: Trends and Future Research

Putera

Ningrum

Suryato

et al. 2023

JOSTIP

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Digital economy serves as one of the agenda of Association of Southeast Asian Nations (ASEAN) in undertaking the Fourth Industrial Revolution. Additionally, the Indonesian government is committed to conducting research and innovation related to digital economy. Therefore, this study aims to reveal trends and future research under the topic of digital economy in Indonesia. This study utilizes big data methods, conducted through Scopus database, while the analysis is conducted through bibliometrics and visualization VOSViewer. The results of this study indicate that financial technology becomes the most published topic by authors with affiliation from Indonesia, although the topic has been widely discussed in international journals. Meanwhile, future research topics include research on digital payments, technology acceptance for the Micro, small, and medium enterprises (MSMEs), digital transformation for e-learning, and e-government.

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Section: Resultsmentioning

confidence: 99%

Digital Economy in Indonesia: Trends and Future Research

Putera

Ningrum

Suryato

et al. 2023

JOSTIP

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“…In recent years, the government has vigorously advocated “Internet+,” combining traditional industries with Internet thinking to promote the development of the real economy, bringing opportunities and challenges to the garden industry [ 1 ]. However, there are information asymmetry in the original industrial chain, low utilization rate of resources, low standardization, primitive transaction process, prominent contradiction between supply and demand, difficult transformation of scientific research achievements, weak capital gathering force, lack of professional and technical personnel, and weak scientific popularization in the industry [ 2 ]. As far as Guangzhou is concerned, the industry authorities are still in the stage of policy guidance and exploration of “Internet+ gardens”; botanical gardens focus on collecting plant resources and have little research on application.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Layout and Planning of Smart Gardens in the Environment of Agricultural Internet of Things

Geng

Chun

2022

Computational Intelligence and Neuroscience

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This paper studies the general architecture and key technologies of the Agricultural Internet of Things and summarizes the latest progress of the Internet of Things system model. On this basis, a general system architecture model suitable for the Agricultural Internet of Things is initially established, and the key technologies of the Agricultural Internet of Things are expounded to provide a reference for the in-depth application and development of the Agricultural Internet of Things. Aiming at the problem that the energy consumption of each node in the network is uneven in the process of monitoring agricultural production environment by wireless sensor network, which leads to the failure of some nodes in the network too fast, an event-driven wireless routing algorithm for agricultural production environment monitoring is proposed. By reducing the number of pieces of control information sent in the cluster, the algorithm selects the next hop forwarding node from candidate nodes according to the forwarding cost function to shorten the data transmission distance, reduce energy consumption, and improve the life cycle of the entire network. The experimental results show that the algorithm in this paper effectively avoids the waste of node energy consumption caused by the active transmission mode and at the same time better balances the overall energy consumption of the network and prolongs the life cycle of the network. The platform satisfies the needs of a local garden bureau to integrate comprehensive landscaping business information and display comprehensive landscaping information in a comprehensive, timely, and dynamic manner. At the same time, it has made useful explorations in the development and integration of landscaping business data interfaces and GIS data interfaces. All system functions of the smart garden information management platform project are reasonably designed and completely correct and basically meet the software function requirements specified in the requirements specification. Some functions were found not realized during the test. After rectification, various systems have been improved. All system interfaces of the smart garden information management platform project have reasonable layout, simple operation, and good ease of use. The smart garden information management platform project meets the business logic requirements and fulfills the requirements of the information construction of the Garden and Greening Administration. All systems of the smart garden information management platform project are simple to install and easy to operate and meet the user’s requirements after installation. The system has a strict permission setting function. People with different permissions can only see the content of the fields that they have permission to access, which effectively ensures the security of the data.

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“…This research also supports the development of technology by applying wireless communication using Internet of Things (IoT). IoT has been applied in many areas, for instances in Health [13], [14], [15] smart homes [16], smart cities [17], [18], [19], smart government [20], sport [21], and agriculture [22], etc. The G-Bot movement in this research can be controlled wirelessly using the IoT.…”

Section: Introductionmentioning

confidence: 99%

Wireless Controlling for Garbage Robot (G-Bot)

Husni

Robi²,

Prihatini³

et al. 2021

ComEngApp

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This paper presents one of the solutions in overcoming the garbage problems. The people sometimes feel too lazy to throw the garbage into proper place due to their habit that has been grown since little kids. In this research, A G-Bot, a robot that has function as the garbage container is offered. By using an Internet of Things (IoT) application, the users can control the motion of the G-Bot wirelessly, so that it can move to the users’ desired location. In addition, the covers of the G-Bot can also be opened using smart phones that connected to the G-Bot. A Blynk that acts as the IoT Application is used in order to set up the G-Bot communication. From the experimental result, it can be concluded that the proposed research has been successful to be implemented. The users can move the G-Bot to the targeted location wirelessly, and they can also open and close the G-Bot’s lids wirelessly trough the mobile phones.

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Accuracy and Reliability of Data in IoT System for Smart Agriculture

Cited by 14 publications

References 10 publications

Digital Economy in Indonesia: Trends and Future Research

Digital Economy in Indonesia: Trends and Future Research

Multiscale Layout and Planning of Smart Gardens in the Environment of Agricultural Internet of Things

Wireless Controlling for Garbage Robot (G-Bot)

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