Evolution of Smart Farming: Integrating IoT and AI in Agricultural Engineering

Mandapuram, Mounika; Mahadasa, Ravikiran; Surarapu, Pavani

doi:10.18034/gdeb.v8i2.714

Cited by 19 publications

(9 citation statements)

References 19 publications

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“…This chapter will investigate how dynamic programming approaches can be applied to integrate time and budget limitations into resource allocation in project scheduling to increase efficiency. Specifically, we will focus on how these solutions might be implemented (Mandapuram et al, 2019).…”

Section: Integrating Time and Budget Constraintsmentioning

confidence: 99%

Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

Goda,

Vadiyala,

Yerram

et al. 2023

ABC j. adv. res.

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This study investigates dynamic programming methodologies for resource allocation in project scheduling, aiming to optimize efficiency while adhering to time and budget limitations. Exploring the theoretical underpinnings of dynamic programming, including time and budget restrictions into resource allocation models, and conducting case studies to assess actual applications are the primary goals of this project. This study utilized a thorough review process, including a synthesis of the relevant literature, an analysis of the case study, and policy implications. Among the most important discoveries are the following: the versatility of dynamic programming techniques in addressing resource allocation challenges across industries, the significance of incorporating time and budget constraints into decision-making processes, and the necessity of addressing limitations related to computational complexity, data requirements, and risk management. In the context of policy consequences, investments in computing infrastructure, data management techniques, and risk mitigation strategies are highlighted. In general, the findings of this study highlight the potential of dynamic programming methodologies to improve the efficiency and effectiveness of resource allocation within the context of a project that is affected by time and financial restrictions.

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Section: Integrating Time and Budget Constraintsmentioning

confidence: 99%

Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

Goda,

Vadiyala,

Yerram

et al. 2023

ABC j. adv. res.

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“…VR technology enables businesses to transport customers to virtual worlds where they can engage with products, services, and brand experiences in previously impossible ways. For example, automotive companies can use VR to provide virtual test drives of vehicles, while hospitality brands can offer virtual tours of hotels and resorts (Mandapuram et al, 2019).…”

Section: Virtual Reality (Vr)mentioning

confidence: 99%

Revolutionizing Customer Experience through Innovative Digital Marketing Approaches

Baddam

2022

Glob. discl. econ. bus.

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This study explores the transformative impact of innovative digital marketing approaches on revolutionizing customer experience in the contemporary business landscape. The study's main objectives are to examine the role of personalization, immersive technologies, and omnichannel integration in enhancing customer engagement and satisfaction, analyze the effectiveness of measurement and analytics in evaluating digital marketing initiatives' impact, and identify critical policy implications for businesses and policymakers. Utilizing a secondary data-based review approach, this study synthesizes insights from peer-reviewed academic journals, industry reports, and case studies to investigate emerging trends and best practices in digital marketing. Significant findings include the paramount importance of personalization in driving customer engagement, the considerable role of immersive technologies in creating memorable brand experiences, and the critical need for omnichannel integration to deliver seamless and cohesive customer experiences. Policy implications highlight the importance of privacy and data protection, digital inclusion, transparency in personalization efforts, and standardized measurement frameworks. Overall, this study underscores the transformative potential of innovative digital marketing approaches in shaping the future of customer experience.

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“…The literature study highlights the complex relationship between AI, efficiency, and fairness in HR decision-making. AI technologies can improve decision-making efficiency and effectiveness but pose ethical and social issues (Mandapuram et al, 2019). Organizations must prioritize justice in designing, deploying, and evaluating AI-driven HR systems.…”

Section: Synthesis and Implicationsmentioning

confidence: 99%

Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness

Khair,

Mahadasa,

Tuli

et al. 2020

Glob. discl. econ. bus.

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This study aims to evaluate the impact of artificial intelligence (AI) on the efficiency and fairness of human resources (HR) decision-making. The key goals are to determine how artificial intelligence improves decision-making efficiency, investigate the fairness issues involved in AI-driven human resource practices, and make policy suggestions for engaging in ethical HR practices. The approach utilized is known as secondary data analysis. It is used to synthesize insights and patterns by pulling upon previously published literature and empirical investigations; even though artificial intelligence technologies present an opportunity to optimize human resource operations and improve organizational performance, significant findings demonstrate that these technologies also create ethical problems connected to algorithmic biases and an absence of transparency. Regulatory oversight, ethical standards, data governance, diversity and inclusion programs, and constant monitoring and assessment are some of the policy implications that should be considered to guarantee responsible deployment of artificial intelligence in human resource contexts. When it comes to human resource decision-making, companies can embrace the revolutionary potential of artificial intelligence (AI) while maintaining ethical standards if they prioritize justice, openness, and accountability.

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Evolution of Smart Farming: Integrating IoT and AI in Agricultural Engineering

Cited by 19 publications

References 19 publications

Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

Revolutionizing Customer Experience through Innovative Digital Marketing Approaches

Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness

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