CareBro (Personal Farm Assistant):An IoT based Smart Agriculture with Edge Computing

Tendolkar, Atharv; Ramya, S.

doi:10.1109/mpcit51588.2020.9350481

Cited by 9 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Images captured onsite [92,234] During-plantation Detect animals' CNN Images captured onsite [251] Detect and/or diagnose diseases NN and SVM Images generated by drones and satellites [247] Quantized CNN Online database [248] Residual Network and CNN Images captured onsite [305] CNN and TL Images captured onsite [211] TL Images captured onsite [256] Science-based None [306]…”

Section: Determine Plants' Quantity Cnnmentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

View full text Add to dashboard Cite

As today's agriculture industry is facing numerous challenges, including climate changes, encroachment of the urban environment and lack of qualified farmers, there is a need for new practices to ensure sustainable agriculture and food supply. Consequently, there is an emphasis on upgrading the farming practices by shifting towards Smart Farming (SF) -utilizing advanced information and communication technologies to improve the quantity and quality of the crop with minimal labor interference. SF has gained lots of interest in recent years utilizing a variety of technological innovations in the field, which imposes a challenge on farmers and technology integrators to identify the suitable technologies and best practices for a particular application. This paper provides a survey of the most recent SF scientific literature to identify common practices toward technology integration, challenges, and solutions. The survey was conducted on 588 papers published on the IEEE database following Cochrane methods to ensure appropriate analysis and interpretation of results. The papers' contributions were analyzed to identify necessary technologies that constitute SF, and consequently, research themes were identified. The identified themes are sensors, communication, big data, actuators and machines, and data analysis. Besides presenting an in-depth analysis of each identified theme, the paper discusses integrating more than one technology in systems to achieve independency. The most common SF systems are remote monitoring, autonomous, and intelligent decision-making systems.

show abstract

Section: Determine Plants' Quantity Cnnmentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…With the continuous improvement of the capabilities of the air interface at the access end, the performance bottleneck of the whole system is gradually reflected in the core end, edge end, and other areas. Therefore, there must also be corresponding innovative technologies at the core or edge end to meet the nearly demanding requirements of 5G IoT applications in the future [86]. However, the existing cellular network core architecture is not suitable for the development of the Internet of Things.…”

Section: Large-scale Terminal Access Of 5g Smart Agricultural Monitor...mentioning

confidence: 99%

Survey of Intelligent Agricultural IoT Based on 5G

2023

View full text Add to dashboard Cite

In the future, agriculture will face the need for increasing production, sustainability, wisdom, and efficiency, which will bring significant challenges to the development of modern agriculture. With the gradual popularization of 5G, advanced information technologies such as the Internet of Things and artificial intelligence promoted the evolution of modern agriculture to intelligent agriculture. The 5G-based Internet of Things will play an essential role in the development of smart agriculture. This paper investigates the research progress of 5G Internet of Things in smart agriculture. It sorts out the development status of 5G smart agriculture Internet of Things in recent years. Following that, the concept of 5G smart agriculture Internet of Things is put forward. It expounds on the connotation, architecture, and enabling key technologies. According to the key application scenarios of smart agriculture, practical cases are presented, the development trend and application value of 5G smart agriculture Internet of Things are shown, and the future development direction is put forward. Firstly, the concept of smart agriculture is distinguished, and the category scenarios of smart agriculture are summarized. Following that, the current review research on 5G-IoT is analyzed. This paper focuses on the analysis and summary of the changes brought by 5G to various key scenarios in smart agriculture. This paper analyzes the related key technologies and challenges, puts forward some key scientific problems, and summarizes the research ideas. Finally, the development trend and application value of 5G smart agriculture Internet of Things are shown. The future development direction is also proposed.

show abstract

“…Smart farms, which are agriculture systems that use IoT solutions, have many strengths, such as a higher productivity per area and labor efficiency [3,47]. Smart farming also enables the management of consistent quality and prices with stable productivity, because it is safe from pests and natural disasters [48]. Thus, the economic and efficient qualities of smart farms are being highlighted in the market, and agricultural products from smart farms are expected to be continuously distributed to the consumers [49].…”

Section: Isfr As a Green Restaurantmentioning

confidence: 99%

Consequences of Psychological Benefits in the Context of Eco-Friendly Indoor Smart Farm Restaurants: The Moderating Role of Curiosity

Joo,

Kim,

Hwang

2023

Sustainability

View full text Add to dashboard Cite

This study was designed in order to understand the psychological benefits of an indoor smart farm restaurant, which is a restaurant that operates a smart farm inside the restaurant. The study more specifically proposes a conceptual framework that includes psychological benefits, attitudes, and future engagement. In addition, this study investigated whether the impact of psychological benefits on attitude is moderated by curiosity. The data was collected from 317 participants in South Korea. The results revealed that warm glow, nature experiences, and self-expressive benefits positively influenced attitude. Also, attitude, warm glow, and self-expressive benefits significantly affected future engagement. Lastly, the effect of psychological benefits on attitudes is moderated by curiosity.

show abstract

CareBro (Personal Farm Assistant):An IoT based Smart Agriculture with Edge Computing

Cited by 9 publications

References 6 publications

Technologies Driving the Shift to Smart Farming: A Review

Technologies Driving the Shift to Smart Farming: A Review

Survey of Intelligent Agricultural IoT Based on 5G

Consequences of Psychological Benefits in the Context of Eco-Friendly Indoor Smart Farm Restaurants: The Moderating Role of Curiosity

Contact Info

Product

Resources

About