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Introduction

In recent years, advancements in technology have revolutionized the way agriculture is practiced. One of the most significant innovations in this field is the use of autonomous drones for various agricultural tasks. These drones are equipped with sensors and cameras, which allow them to collect data and make informed decisions autonomously. However, the processing and analysis of this data in real-time can pose challenges due to the limited computational resources on board the drone. Edge computing offers a solution to this problem by enabling data processing and analysis to be carried out closer to the source of the data, i.e., on the edge of the network. This thesis aims to explore the potential of edge computing for autonomous drones in agriculture and its implications for optimizing agricultural practices.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Introduction to autonomous drones in agriculture
2.2 Edge computing in agriculture
2.3 Integration of edge computing and drones in agriculture
2.4 Benefits and challenges of using edge computing for drones in agriculture
2.5 Case studies of edge computing applications in agriculture
2.6 Current research gaps in the field
2.7 Future trends in edge computing for autonomous drones in agriculture
2.8 Importance of data security and privacy in edge computing for drones in agriculture
2.9 Regulatory considerations for the use of autonomous drones in agriculture
2.10 Conclusion

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Sampling methods
3.5 Research population
3.6 Ethical considerations
3.7 Pilot study
3.8 Validity and reliability of the study

Chapter 4: Discussion of Findings
4.1 Data analysis and interpretation
4.2 Comparison of findings with existing literature
4.3 Implications of findings for practice
4.4 Recommendations for future research
4.5 Limitations of the study
4.6 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Implications for agriculture
5.3 Contributions of the study to the field
5.4 Recommendations for further research
5.5 Conclusion

Thesis Overview:

Edge computing has emerged as a promising solution for optimizing agricultural practices by enabling real-time data processing and analysis closer to the data source. This thesis explores the potential of edge computing for autonomous drones in agriculture and its implications for improving efficiency and productivity in the industry. The literature review provides an in-depth analysis of the current research on autonomous drones, edge computing, and their integration in agriculture, highlighting benefits, challenges, and trends in the field. The research methodology section outlines the design, data collection, and analysis techniques employed in the study to investigate the use of edge computing for drones in agriculture. The discussion of findings chapter presents the results of the study, their implications for practice, and recommendations for future research. The conclusion and summary chapter summarizes the key findings, their significance, and suggests areas for further exploration in the field of edge computing for autonomous drones in agriculture.

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