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Introduction:

The development of a smart pest control system using AI has become an essential need in modern agriculture and pest management. Traditional pest control methods have become ineffective and harmful to the environment. By using Artificial Intelligence (AI), it is possible to create a smart system that can effectively manage pest populations in a sustainable and eco-friendly manner. This project aims to research and develop a smart pest control system using AI to address these challenges.

Table of contents:

Chapter 1: Introduction
1.1 Background of the study
1.2 Problem statement
1.3 Research questions
1.4 Objectives of the study
1.5 Limitations of the study
1.6 Scope of the study

Chapter 2: Literature review
2.1 Overview of pest control methods
2.2 Role of AI in pest management
2.3 Existing smart pest control systems
2.4 Potential benefits of using AI in pest control

Chapter 3: Research methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Implementation plan

Chapter 4: Discussion of findings
4.1 Analysis of data collected
4.2 Evaluation of the smart pest control system
4.3 Comparison with traditional pest control methods

Chapter 5: Conclusion and summary
5.1 Summary of findings
5.2 Recommendations for future research
5.3 Conclusion

Thesis overview:

The development of a smart pest control system using AI is a crucial step towards sustainable and effective pest management in agriculture. This thesis explores the potential of using AI to create a smart system that can accurately identify and control pest populations in a timely manner. By reviewing existing literature, conducting research, and analyzing data, this project aims to demonstrate the effectiveness of the smart pest control system in comparison to traditional methods. The findings of this study will provide valuable insights into the benefits of using AI in pest management and offer recommendations for future research in this field.

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