scholarly journals A Study on the Necessity and Construction Plan of the Internet of Things Platform for Smart Agriculture

2014 ◽  
Vol 17 (11) ◽  
pp. 1313-1324 ◽  
Author(s):  
Joonyoung Lee ◽  
ShinHo Kim ◽  
SaeBom Lee ◽  
HyeonJin Choi ◽  
JaiJin Jung
2021 ◽  
Author(s):  
O. Vishali Priya ◽  
R. Sudha

In today’s world, technology is constantly evolving; various instruments and techniques are available in the agricultural field. And within the agrarian division, the IoT preferences are Knowledge processing. With the help of introduced sensors, all information can be gathered. The reduction of risks, the mechanization of industry, the enhancement of production, the inspection of livestock, the monitoring of environment conditions, the roboticization of greenhouses, and crop monitoring Nearly every sector, like smart agriculture, has been modified by Internet-of-Things (IoT)-based technology, which has shifted the industry from factual to quantitative approaches. The ideas help to link real devices that are equipped with sensors, actuators, and computing power, allowing them to collaborate on a task while staying connected to the Internet, dubbed the “Internet of Things” (IoT). According to the World Telecommunication Union’s Worldwide Guidelines Operation, the Internet of Things (IoT) is a set of sensors, computers, software, and other devices that are connected to the Internet. The paper is highly susceptible to the consequences of its smart agriculture breakthrough.


In earlier times planters utilized to figure the perfection of soil as well as influenced uncertainties to establish which to type of turnout. They failed to consider the humidity, degree of water and especially weather disorder which horrible a farmer significantly the Internet of things (IOT) is remodelling the agri-business enabling the agriculturists with the significant stable of approaches. IOT is actually extended with actuators as well as sensing units. The principal aim is to gather the analyses coming from various nodules and assist the planters deal with different operations for wise planters providing a clever agrarian area.


2021 ◽  
Author(s):  
Tsitsi Zengeya ◽  
Paul Sambo ◽  
Nyasha Mabika

Zimbabwe has faced severe droughts, resulting in low agricultural outputs. This has threatened food and nutrition security in community sections, especially in areas with low annual rainfall. There is a growing need to maximize water usage, monitor the environment and nutrients, and temperatures by the adaptation of smart agriculture. This research explored the use of the Internet of Things (IoT) for smart agriculture in Zimbabwe to improve food production. The mixed methodology was used to gather data through interviews from 50 purposively sampled A2 farmers in the five agricultural regions of Zimbabwe and was supported by the use of the Internet. The findings reveal that some farmers have adopted IoT in Zimbabwe, others are still to adopt such technology and some are not aware of the technology. IoT’s benefits to Zimbabwean farmers are immense in that it improves food security, water preservation, and farm management. However, for most farmers to benefit from IoT, more awareness campaigns should be carried out and mobile and fixed Internet connectivity improved in some of the areas.


Author(s):  
K. Vikranth ◽  
Krishna Prasad K.

India is a country that depends on agriculture, where about half the population relies heavily on agriculture for their livelihood. However, most of the practices undertaken in the agricultural process are not for profit and yield favorable. It should upgrade with current technologies to boost seed quality, check soil infertility, check the water level, environmental changes, and market price prediction, and achieve in agriculture sensitivity of faults and background understanding. The advancement in technology and developments is seen as a significant aspect in their financial development and agricultural production growth. The Internet of Things (IoT), Wireless Sensor Networks (WSN), and data analytics accomplish these upgrades. These technologies help in providing solutions to agricultural issues such as resource optimization, agricultural land monitoring, and decision-making support, awareness of the crop, land, weather, and market conditions for farmers. Smart agriculture is based on data from sensors, data from cloud platform storage and data from databases, all three concepts need to be implemented. The data are collected from different sensors and stored in a cloud-based back end support, which is then analyzed using proper analytics techniques, and then the relevant information is transferred to a user interface, which naturally supported the decision to conclude. The IoT applications mainly use sensors to monitor the situation, which collects a large size of data every time, so in the case of the Internet of Things (IoT) application, sensors contribute more. Data analytics requires data storage, data aggregation, data processing and data extraction. To retrieve data and information from database, we must use data mining techniques. It acts a significant position in the selection-making process on several agricultural issues. The eventual objective of data mining is to acquire information form data transform it for some advanced use into a unique human-comprehensible format. Big data's role in Agriculture affords prospect to increase the farmers' economic gain by undergoing a digital revolution in this aspect that we examine with precision. This paper includes reviewing a summary of some of the conference papers, journals, and books that have been going in favor of smart agriculture. The type of data required for smart farming system are analyzed and the architecture and schematic diagram of a proposed intelligent farming system are included. It also involves implementing different components of the smart farming system and integrating IoT and data analytics in the smart farming system. Based on the review, research gap, research agendas to carry out further research are identified.


Author(s):  
Luca Davoli ◽  
Laura Belli ◽  
Gianluigi Ferrari

The Internet of Things (IoT) paradigm is foreseeing the development of our environment towards new enriched spaces in most areas of modern living, such as digital health, smart cities, and smart agriculture. Several IoT applications also have real-time and low-latency requirements and must rely on specific architectures. The authors refer to the paradigm that best fits the selected IoT scenario as “Big Stream” because it considers real-time constraints. Moreover, the blockchain concept has drawn attention as the next-generation technology through the authentication of peers that share encryption and the generation of hash values. In addition, the blockchain can be applied in conjunction with Cloud Computing and the IoT paradigms, since it avoids the involvement of third parties in a broker-free way. In this chapter, an analysis on mechanisms that can be adopted to secure Big Stream data in a graph-based platform, thus delivering them to consumers in an efficient and secure way, and with low latency, is shown, describing all refinements required employing federation-based and blockchain paradigms.


2020 ◽  
Vol 171 ◽  
pp. 105309 ◽  
Author(s):  
Andrei B.B. Torres ◽  
Atslands R. da Rocha ◽  
Ticiana L. Coelho da Silva ◽  
José N. de Souza ◽  
Rubens S. Gondim

2018 ◽  
Vol 7 (2.7) ◽  
pp. 308 ◽  
Author(s):  
P Lashitha Vishnu Priya ◽  
N Sai Harshith ◽  
Dr N.V.K.Ramesh

Atmospheric changes have been sporadic over the previous decade. Because of this in late period, atmosphere shrewd techniques called as savvy agribusiness is embraced by numerous Indian farmers. Keen farming is a robotized and coordinated data innovation executed with the Internet of Things. IOT is growing quickly and broadly connected in every remote condition. This paper presents an efficient sensor innovation and remote systems coordination of IOT innovation has been contemplated and looked into in light of the real circum-stance of agricultural activities. Real goal is to gather ongoing information of agriculture that gives simple access to the farmer. Our task screens the yield development utilizing advanced means giving the precise esteems of different parameters where upon the development depends. Additionally, it will help the farmer to screen more than one rural field in the meantime. Since, the vast majority of the observ-ing is done remotely, it will help the person to pick up data. Since, observing through our framework requires less labor, individuals with physical handicaps can be utilized for checking fields. Our task, not just tries to relieve the primitive methods identified with farming yet additionally serve the group by opening new roads for work.


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