Big Data Analytics

Author(s):  
Muhammad D. Abdulrahman ◽  
Nachiappan Subramanian ◽  
Hing Kai Chan ◽  
Kun Ning

This chapter discusses the scholarly views on big data analytics with respect to the challenges in terms of visualization and data driven research in smart cities and ports. The prominent challenges and emerging research on structuring data, data mining algorithms and visualization aspects are shared by academic experts based on their ongoing research experience. Scholars agreed that being able to analyze huge data at once is highly critical for the embracement and success of big data research and the utilization of its findings particularly for entities with highly dynamic and complex demands such as cities and ports. It was noted that developing robust ways of handling and clean qualitative social media data as well as getting well-trained and highly skilled human resources in all aspects of big data analysis and interpretation remains a major challenge.

Author(s):  
Loubna Rabhi ◽  
Noureddine Falih ◽  
Lekbir Afraites ◽  
Belaid Bouikhalene

Due to the spead of objects connected to the internet and objects connected to each other, agriculture nowadays knows a huge volume of data exchanged called big data. Therefore, this paper discusses connected agriculture or agriculture 4.0 instead of a traditional one. As irrigation is one of the foremost challenges in agriculture, it is also moved from manual watering towards smart watering based on big data analytics where the farmer can water crops regularly and without wastage even remotely. The method used in this paper combines big data, remote sensing and data mining algorithms (neural network and support vector machine). In this paper, we are interfacing the databricks platform based on the apache Spark tool for using machine learning to predict the soil drought based on detecting the soil moisture and temperature.


2021 ◽  
Vol 24 ◽  
pp. 100192
Author(s):  
Mariagrazia Fugini ◽  
Jacopo Finocchi ◽  
Paolo Locatelli

Author(s):  
V. Bassoo ◽  
V. Ramnarain-Seetohul ◽  
V. Hurbungs ◽  
T. P. Fowdur ◽  
Y. Beeharry

2021 ◽  
Author(s):  
Chun Sing Lai ◽  
Loi Lei Lai ◽  
Qi Hong Lai

Sign in / Sign up

Export Citation Format

Share Document