Tech-Business Analytics in Primary Industry Sector

Author:

Kumar Sachin1,K. Krishna Prasad2,Aithal P. S.3

Affiliation:

1. Post-Doctoral Research Fellow, Institute of Computer Science and Information Science, Srinivas University, Mangalore, India

2. Institute of Computer & Information Science, Srinivas University, Mangalore, India

3. Institute of Business Management & Commerce, Srinivas University, Mangalore, India

Abstract

Purpose: The TBA in the primary industry sector is to organize the efficiency and sustainability of agricultural extraction activities. The primary sector is heavily reliant on natural resources and environmental conditions, and TBA can help businesses in this sector make data-driven decisions to optimize their operations and reduce their environmental impact. For example, TBA can help agricultural businesses optimize their crop yields by analysing data from weather sensors, soil sensors, and other sources. By using predictive analytics, businesses can anticipate weather patterns and adjust their planting schedules and crop management practices accordingly. This can lead to higher crop yields, improved resource utilization, and reduced environmental impact. Similarly, TBA can help natural resource extraction businesses optimize their operations by analysing data from sensors, drones, and other sources. By using advanced analytics techniques, businesses can identify opportunities to improve resource utilization, reduce waste, and minimize the impact of their activities on the environment. Hence, the primary industry sector faces many challenges, including climate change, resource depletion, and environmental degradation. By using TBA, businesses in this sector can make data-driven decisions to improve their operations, reduce their environmental impact, and ensure the long-term sustainability of their activities. Design/Methodology/Approach: The TBA in primary industry sector involves a combination of data collection, analysis, and interpretation techniques. The specific methodology used will depend on the industry and the specific business objectives. Hence, the TBA methodology for the primary industry sector is focused on using data-driven insights to improve efficiency, productivity, and sustainability. By collecting and analysing data from various sources, businesses in this sector can make informed decisions that lead to improved outcomes for both the business and the environment. Findings/Result: It is discussed in the paper how Tech Business Analytics in the Primary industry sector will have managed the growth itself from its evolution to till date. Originality/Value: An explanation of how Tech Business Analytics in the Primary industry sector differs from business analytics. A generic architecture is also available, which looks at 30 recently presented TBA in Primary industry sector research proposals and is useful for technical purposes. Paper Type: Exploratory research.

Publisher

Srinivas University

Subject

General Medicine

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. INFLUENCE OF PRODUCTION OF PRIMARY PRODUCTS ON THE RATE OF INFLATION IN THE REPUBLIC OF SERBIA;Ekonomika poljoprivrede;2024-06-19

2. Tech-Business Analytics in the Circular Economy;International Journal of Management, Technology, and Social Sciences;2024-05-30

3. Tech-Business Analytics in Blue Economy;International Journal of Applied Engineering and Management Letters;2024-05-16

4. Big Data Management and Analytics in Drug Research;Advances in Healthcare Information Systems and Administration;2024-04-22

5. Exploring Neuro Management: Bridging Science and Leadership – An Overview;International Journal of Applied Engineering and Management Letters;2024-04-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3