scholarly journals Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis

2021 ◽  
Vol 13 (21) ◽  
pp. 12011
Author(s):  
Alireza Abdollahi ◽  
Karim Rejeb ◽  
Abderahman Rejeb ◽  
Mohamed M. Mostafa ◽  
Suhaiza Zailani
Keyword(s):  
Precision Agriculture ◽  
Temporal Distribution ◽  
Soil Management ◽  
Wireless Sensor ◽  
Pertinent Literature ◽  
Future Studies ◽  
Academic Literature ◽  
Scopus Database ◽  
The Internet Of Things

This study investigates how wireless sensor network (WSN) applications in agriculture are discussed in the current academic literature. On the basis of bibliometric techniques, 2444 publications were extracted from the Scopus database and analyzed to identify the temporal distribution of WSN research, the most productive journals, the most cited authors, the most influential studies, and the most relevant keywords. The computer program VOSviewer was used to generate the keyword co-occurrence network and partition the pertinent literature. Findings show the remarkable growth of WSN research in recent years. The most relevant journals, cited countries, and influential studies were also identified. The main results from the keyword co-occurrence clustering and the detailed analysis illustrate that WSN is a key enabler for precision agriculture. WSN research also focuses on the role of other technologies such as the Internet of Things, cloud computing, artificial intelligence, and unmanned aerial vehicles in supporting several agriculture activities, including smart irrigation and soil management. This study illuminates researchers’ and practitioners’ views of what has been researched and identifies possible opportunities for future studies. To the authors’ best knowledge, this bibliometric study represents the first attempt to map global WSN research using a comprehensive sample of documents published over nearly three decades.

scholarly journals A Survey on the Use of the Internet of Multimedia Things for Precision Agriculture and the Agrifood Sector

2021 ◽  
Vol 9 (1) ◽  
pp. 32
Author(s):  
Alvertos Ioannis Mourikis ◽  
Romanos Kalamatianos ◽  
Ioannis Karydis ◽  
Markos Avlonitis
Keyword(s):  
Information And Communication Technologies ◽  
Precision Agriculture ◽  
Communication Technologies ◽  
The Internet ◽  
Information And Communication ◽  
In Situ Sensing ◽  
Use Of The Internet ◽  
The Internet Of Things

The Internet of Things (IoT) has already penetrated an ever-increasing array of daily aspects of life. IoTs bridge the analog and digital worlds in an unprecedented manner and degree by providing in situ sensing. Adding to the IoT the capability to collect interrelated multi-modal sensing, the use of the Internet of Multimedia Things (IoMTs) has recently been exhibited to significantly enhance the role of Information and Communication Technologies (ICT) in numerous applications, and most importantly in agrifood systems. In this work, we review key recent works in the conjunction of the three domains of IoMT, agrifood and precision agriculture and present open research directions.

scholarly journals Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7091
Author(s):  
Sergio Monteleone ◽  
Edmilson Alves de Moraes ◽  
Brenno Tondato de Faria ◽  
Plinio Thomaz Aquino Junior ◽  
Rodrigo Filev Maia ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Operations Management ◽  
Multidisciplinary Research ◽  
Irrigation Planning ◽  
Farmer Behavior ◽  
Multimethod Approach ◽  
The Internet Of Things ◽  
Pa Domain

In recent years, the concept of Agriculture 4.0 has emerged as an evolution of precision agriculture (PA) through the diffusion of the Internet of things (IoT). There is a perception that the PA adoption is occurring at a slower pace than expected. Little research has been carried out about Agriculture 4.0, as well as to farmer behavior and operations management. This work explores what drives the adoption of PA in the Agriculture 4.0 context, focusing on farmer behavior and operations management. As a result of a multimethod approach, the factors explaining the PA adoption in the Agriculture 4.0 context and a model of irrigation operations management are proposed. Six simulation scenarios are performed to study the relationships among the factors involved in irrigation planning. Empirical findings contribute to a better understanding of what Agriculture 4.0 is and to expand the possibilities of IoT in the PA domain. This work also contributes to the discussion on Agriculture 4.0, thanks to multidisciplinary research bringing together the different perspectives of PA, IoT and operations management. Moreover, this research highlights the key role of IoT, considering the farmer’s possible choice to adopt several IoT sensing technologies for data collection.

The Pivotal Role of Edge Computing With Machine Learning and Its Impact on Healthcare

2020 ◽  
pp. 219-236
Author(s):  
Muthukumari S. M. ◽  
George Dharma Prakash E. Raj
Keyword(s):  
Medical Devices ◽  
Data Centers ◽  
Global Market ◽  
Edge Computing ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Patient Health ◽  
Consumption Cost ◽  
The Internet Of Things

The global market for IoT medical devices is expected to hit a peak of 500 billion by the year 2025, which could signal a significant paradigm shift in healthcare technology. This is possible due to the on-premises data centers or the cloud. Cloud computing and the internet of things (IoT) are the two technologies that have an explicit impact on our day-to-day living. These two technologies combined together are referred to as CloudIoT, which deals with several sectors including healthcare, agriculture, surveillance systems, etc. Therefore, the emergence of edge computing was required, which could reduce the network latency by pushing the computation to the “edge of the network.” Several concerns such as power consumption, real-time responses, and bandwidth consumption cost could also be addressed by edge computing. In the present situation, patient health data could be regularly monitored by certain wearable devices known as the smart telehealth systems that send an enormous amount of data through the wireless sensor network (WSN).

WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time

2021 ◽  
pp. 243-254
Author(s):  
Balakrishna K.
Keyword(s):  
Wireless Sensor Networks ◽  
Precision Agriculture ◽  
Wireless Sensor ◽  
The Internet ◽  
Communication Model ◽  
Climatic Parameters ◽  
Statistical Software ◽  
Irrigation Optimization ◽  
Field Variability ◽  
The Internet Of Things

The use of wireless sensor networks, the internet of things, and advanced technologies lead to new direction of research in the agriculture domain called prescriptive agriculture. Prescriptive agriculture is the enforcement of precision agriculture, which is observing, measuring, and responding to inter and intra field variability of farm field. In this chapter, the advent of wireless sensor network, APSim, and communication model spurred a new direction in the farming domain at optimizing irrigation. Sensors are programmed to collect the datasets of climatic parameters such as relative humidity and temperature, where the datasets were forwarded to the server through a GSM module. Datasets collected were analyzed through statistical software for grown crops by considering inter and intra farm field conditions. Finally, information on irrigation is decimated through an algorithm designed by way2SMS and WebHost server.

scholarly journals A systematic review of smart cities and the internet of things as a research topic

2019 ◽  
Vol 17 (4) ◽  
pp. 1115-1130
Author(s):  
BELMIRO DO NASCIMENTO JOÃO ◽  
CRISOMAR LOBO DE SOUZA ◽  
FRANCISCO ANTONIO SERRALVO
Keyword(s):  
Internet Of Things ◽  
Web Of Science ◽  
Smart Cities ◽  
Developed Countries ◽  
The Internet ◽  
Future Studies ◽  
Academic Literature ◽  
Quantitative Content ◽  
Prolific Authors ◽  
The Internet Of Things

Abstract This study aims to analyze the current academic literature on Smart Cities and the Internet of Things using bibliometric analysis and quantitative content analysis. It primarily consists of extracting data from the web-of-science: citations, languages, countries, most prolific authors, the most relevant works, keywords, institutions, conferences, and journals. Results confirm that the most preeminent literature on Smart Cities and the Internet of Things focuses on developed countries with a long tradition of innovation and IT research showing a similar pattern. From this analysis, limitations and opportunities for future studies are observed. A research agenda and suggestions for new theoretical questions were developed for scholars of Smart Cities and the Internet of Things.

scholarly journals Big Data and Accounting: A Bibliometric Study

2021 ◽  
pp. 203-238
Author(s):  
Ashish Varma ◽  
◽  
Palmira Piedepalumbo ◽  
Daniela Mancini ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Bibliometric Analysis ◽  
Visual Analysis ◽  
Future Studies ◽  
Use Of Data ◽  
Body Of Knowledge ◽  
Current State ◽  
Scopus Database

Over the years, the importance and role of Big Data have grown considerably. Accountants’ work requires sound judgement and decision making, which makes their activities less conducive to automation. Nonetheless, it is useful for accountants to be at ease with the use of data analysis, especially when data are unstructured and relevant to decision making. This study aimed to visualize the research panorama on the theme “Big Data and accounting” to appreciate the current state of knowledge in this field. Bibliometric analysis was used to study literature on the topic of Big Data and accounting. The data were collected using the Scopus database to ascertain the authors, countries, keywords and journals that have contributed the most to this body of knowledge. VOSviewer software was used for data visualization. Through a visual analysis, the results reveal the current state of knowledge on the theme of Big Data and accounting, with significant implications for future works in this field. The findings also highlight the potential opportunities for future studies on this topic and on peripheral themes. Keywords: Big data, accounting, bibliometric analysis, digital accounting, research agenda.

scholarly journals Revisão sistemática de cidades inteligentes e internet das coisas como tópico de pesquisa

2019 ◽  
Vol 17 (4) ◽  
pp. 1115-1130
Author(s):  
BELMIRO DO NASCIMENTO JOÃO ◽  
CRISOMAR LOBO DE SOUZA ◽  
FRANCISCO ANTONIO SERRALVO
Keyword(s):  
Internet Of Things ◽  
Web Of Science ◽  
Smart Cities ◽  
Developed Countries ◽  
The Internet ◽  
Future Studies ◽  
Academic Literature ◽  
Quantitative Content ◽  
Prolific Authors ◽  
The Internet Of Things

Abstract This study aims to analyze the current academic literature on Smart Cities and the Internet of Things using bibliometric analysis and quantitative content analysis. It primarily consists of extracting data from the web-of-science: citations, languages, countries, most prolific authors, the most relevant works, keywords, institutions, conferences, and journals. Results confirm that the most preeminent literature on Smart Cities and the Internet of Things focuses on developed countries with a long tradition of innovation and IT research showing a similar pattern. From this analysis, limitations and opportunities for future studies are observed. A research agenda and suggestions for new theoretical questions were developed for scholars of Smart Cities and the Internet of Things.

Mesophyll conductance: the leaf corridors for photosynthesis

2020 ◽  
Vol 48 (2) ◽  
pp. 429-439 ◽  
Author(s):  
Jorge Gago ◽  
Danilo M. Daloso ◽  
Marc Carriquí ◽  
Miquel Nadal ◽  
Melanie Morales ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Current Knowledge ◽  
Main Role ◽  
Mesophyll Conductance ◽  
Future Studies ◽  
Cell Structures ◽  
Leaf Tissues ◽  
Change Framework ◽  
Chloroplast Stroma

Besides stomata, the photosynthetic CO2 pathway also involves the transport of CO2 from the sub-stomatal air spaces inside to the carboxylation sites in the chloroplast stroma, where Rubisco is located. This pathway is far to be a simple and direct way, formed by series of consecutive barriers that the CO2 should cross to be finally assimilated in photosynthesis, known as the mesophyll conductance (gm). Therefore, the gm reflects the pathway through different air, water and biophysical barriers within the leaf tissues and cell structures. Currently, it is known that gm can impose the same level of limitation (or even higher depending of the conditions) to photosynthesis than the wider known stomata or biochemistry. In this mini-review, we are focused on each of the gm determinants to summarize the current knowledge on the mechanisms driving gm from anatomical to metabolic and biochemical perspectives. Special attention deserve the latest studies demonstrating the importance of the molecular mechanisms driving anatomical traits as cell wall and the chloroplast surface exposed to the mesophyll airspaces (Sc/S) that significantly constrain gm. However, even considering these recent discoveries, still is poorly understood the mechanisms about signaling pathways linking the environment a/biotic stressors with gm responses. Thus, considering the main role of gm as a major driver of the CO2 availability at the carboxylation sites, future studies into these aspects will help us to understand photosynthesis responses in a global change framework.

Motives for Social Isolation Following a Negative Emotional Episode

2018 ◽  
Vol 77 (3) ◽  
pp. 127-131
Author(s):  
Gérald Delelis ◽  
Véronique Christophe
Keyword(s):  
Social Isolation ◽  
Social Affiliation ◽  
Semantic Categorization ◽  
Future Studies ◽  
Cognitive Regulation ◽  
Emotional Event ◽  
Regulation Strategies ◽  
Emotional Events

Abstract. After experiencing an emotional event, people either seek out others’ presence (social affiliation) or avoid others’ presence (social isolation). The determinants and effects of social affiliation are now well-known, but social psychologists have not yet thoroughly studied social isolation. This study aims to ascertain which motives and corresponding regulation strategies participants report for social isolation following negative emotional events. A group of 96 participants retrieved from memory an actual negative event that led them to temporarily socially isolate themselves and freely listed up to 10 motives for social isolation. Through semantic categorization of the 423 motives reported by the participants, we found that “cognitive clarification” and “keeping one’s distance” – that is, the need for cognitive regulation and the refusal of socioaffective regulation, respectively – were the most commonly and quickly reported motives for social isolation. We discuss the findings in terms of ideas for future studies aimed at clarifying the role of social isolation in health situations.

Sign in / Sign up

Export Citation Format

Share Document