Thesis Abstract

Abstract
This thesis explores the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies in precision agriculture practices within the forestry management sector, with a focus on enhancing efficiency, productivity, and sustainability. The implementation of smart farming techniques offers a transformative approach to forestry management by leveraging real-time data collection, analysis, and decision-making processes. By harnessing IoT sensors, devices, and AI algorithms, forestry practitioners can optimize resource utilization, monitor environmental conditions, and improve overall forest health. This research aims to investigate the potential benefits, challenges, and implications associated with adopting smart farming solutions in forestry management. The introductory chapter provides an overview of the research study, including the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The literature review chapter delves into ten key areas related to IoT, AI, precision agriculture, and forestry management, examining existing studies, technologies, and trends in the field. By synthesizing relevant literature, this chapter establishes a theoretical framework for the research study. The research methodology chapter outlines the approach, methods, data collection techniques, analysis procedures, and tools used in the study. Key components include research design, sampling strategy, data sources, data analysis techniques, and ethical considerations. The findings chapter presents a detailed analysis and discussion of the results obtained from implementing IoT and AI technologies in forestry management. By evaluating the impact on productivity, efficiency, sustainability, and decision-making processes, this chapter provides insights into the practical implications of smart farming in forestry. In the concluding chapter, a summary of the research findings, implications, limitations, and future research directions are discussed. The study highlights the potential of IoT and AI technologies to revolutionize forestry management practices, offering new opportunities for optimization and sustainability. By embracing smart farming solutions, forestry practitioners can enhance operational efficiency, environmental stewardship, and economic viability. This research contributes to the growing body of knowledge on the integration of advanced technologies in precision agriculture and underscores the importance of innovation in sustainable forestry management practices.

Thesis Overview