Tech-Business Analytics in Primary Industry Sector

Sachin Kumar, K. K, P. Aithal
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引用次数: 7

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.
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第一产业部门的技术-商业分析
目的:第一产业部门的TBA是组织农业采掘活动的效率和可持续性。第一产业严重依赖自然资源和环境条件,TBA可以帮助该产业的企业做出数据驱动的决策,以优化运营,减少对环境的影响。例如,TBA可以通过分析来自天气传感器、土壤传感器和其他来源的数据,帮助农业企业优化作物产量。通过使用预测分析,企业可以预测天气模式,并相应地调整种植计划和作物管理实践。这可以提高作物产量,改善资源利用,减少对环境的影响。同样,TBA可以通过分析来自传感器、无人机和其他来源的数据,帮助自然资源开采企业优化运营。通过使用先进的分析技术,企业可以识别提高资源利用率的机会,减少浪费,并最大限度地减少其活动对环境的影响。因此,第一产业面临着气候变化、资源枯竭、环境恶化等诸多挑战。通过使用TBA,该领域的企业可以做出数据驱动的决策,以改善其运营,减少对环境的影响,并确保其活动的长期可持续性。设计/方法/途径:第一产业部门的TBA涉及数据收集、分析和解释技术的组合。所使用的具体方法将取决于行业和具体的业务目标。因此,第一产业部门的TBA方法侧重于使用数据驱动的洞察力来提高效率、生产力和可持续性。通过从各种来源收集和分析数据,该部门的企业可以做出明智的决策,从而改善业务和环境的结果。发现/结果:本文讨论了第一产业部门的技术商业分析如何管理其发展至今的增长本身。原创性/价值:解释第一产业部门的技术商业分析与商业分析的区别。还有一个通用的体系结构,它查看了最近在初级工业部门研究提案中提出的30个TBA,对于技术目的很有用。论文类型:探索性研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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