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.
Today e-commerce is the latest worldwide way of doing business trading. Growing innovations like the internet, network and satellite technology allow companies to move to online businesses. Today e-commerce has an infinite influence on the culture that changes the way people around the world do their lives. This has huge consequences for manufacturers, distributors, dealers, wholesalers, and customers. There are plenty of businesses coming forward and beginning e-commerce business from the last 6 decades so that eighty percent of companies have achieved enormous market success. Nowadays, the progress of e-commerce is largely continuing, as it is now compulsory for the company to carry out data analytics to withstand the market. A lot of data will be generated in various aspects such as advertisement, information exchange, order and payment, delivery, customer support, and customer reviews when trading through the internet. The company's main challenge is how to use the data to further improve the product. These companies are now creating a research department that performs data analysis using different technologies and makes a good contribution to the profit of companies and helps the company to make good decisions. Wal-Mart is the largest vendor in the United States and has also expanded its market in twenty-eight countries around the world. Now it was struggling to keep in top position because of the enormous competition from other firms. It was, therefore, premeditated to use excessive amounts of the present dataset from the past several years to analyze it using special research teams. This paper examined the various elements of the e-commerce industry, the list of possible data produced in e-commerce, the need for data analysis in e-commerce, the challenges of performing data analysis in e-commerce, the technologies needed to achieve data analysis in e-commerce, how companies use the dataset to survive on the market and how Wal-Mart company performs data analytics to understand business scenario.
Network technology and mobile technologies are two essential and booming technologies in today’s scenario that have emerged and quickly evaluated in terms of hardware, communication media, and architecture. Based on the communication system there are massive developments in underlying devices with hardware, software, and entire architecture. All we experienced with 2G, 3G, and 4G communication system, and in the future, we will going to experience next-generation communication system 5G. In underlying technology there have been many improvements and advances, mainly with data transfer speed and unlimited bandwidth that we have never experienced before. Not only is this technology limited to voice and data, but we also expect some IoT revolutions, a system for mobile communication, automated vehicles, industrial and manufacturing automation, human-machine interface, logistics and warehousing, etc. So this 5G technology gives the opportunity for researchers to perform research in related technologies. Here we analyzed the need, concept, service and features of fifth generation communication technologies in this paper. It was proposed the core technology incorporated with 5G and their architecture. Future trends and applications influenced by the 5G communication system were analysed.
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