Smart Connected Sensors, Cyber-Physical Networks, and Big Data Analytics Systems in Internet of Things-based Real-Time Production Logistics

2020 ◽  
Vol 15 (2) ◽  
pp. 16
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Real Time ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Production Logistics ◽  
Time Production

scholarly journals A functional framework based on big data analytics for smart farming

2021 ◽  
Vol 24 (3) ◽  
pp. 1772
Author(s):  
Loubna Rabhi ◽  
Noureddine Falih ◽  
Lekbir Afraites ◽  
Belaid Bouikhalene
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
New Products ◽  
Big Data Analytics ◽  
Decision Making Process ◽  
Time Production ◽  
Smart Farming ◽  
The Future

Big <span>data in agriculture is defined as massive volumes of data with a wide variety of sources and types which can be captured using internet of things sensors (soil and crops sensors, drones, and meteorological stations), analyzed and used for decision-making. In the era of internet of things (IoT) tools, connected agriculture has appeared. Big data outputs can be exploited by the future connected agriculture in order to reduce cost and time production, improve yield, develop new products, offer optimization and smart decision-making. In this article, we propose a functional framework to model the decision-making process in digital and connected agriculture</span>.

Big Data Analytics and Its Applications in IoT

2021 ◽  
pp. 146-158
Author(s):  
Shaila S. G. ◽  
Bhuvana D. S. ◽  
Monish L.
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Real Time ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Internet ◽  
Iot Applications ◽  
Maximum Benefit ◽  
The Internet Of Things ◽  
Achieve Maximum Benefit

Big data and the internet of things (IoT) are two major ruling domains in today's world. It is observed that there are 2.5 quintillion bytes of data created each day. Big data defines a very huge amount of data in terms of both structured and unstructured formats. Business intelligence and other application domains that have high information density use big data analytics to make predictions and better decisions to improve the business. Big data analytics is used to analyze a high range of data at a time. In general, big data and IoT were built on different technologies; however, over a period of time, both of them are interlinked to build a better world. Companies are not able to achieve maximum benefit, just because the data produced by the applications are not utilized and analyzed effectively as there is a shortage of big data analysts. For real-time IoT applications, synchronization among hardware, programming, and interfacing is needed to the greater extent. The chapter discusses about IoT and big data, relation between them, importance of big data analytics in IoT applications.

Sign in / Sign up

Export Citation Format

Share Document