Thesis Abstract

Abstract
The integration of Internet of Things (IoT) technology in precision agriculture has revolutionized the agriculture and forestry sectors, enabling more efficient and sustainable management practices. This thesis explores the application of IoT technology for precision agriculture in forestry management, focusing on its potential benefits, challenges, and implications. The study aims to investigate how IoT can enhance precision agriculture practices in forestry, leading to improved resource management, increased productivity, and environmental sustainability. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The literature review in Chapter Two examines existing research and developments in IoT technology for precision agriculture, highlighting key findings and gaps in the current literature. Chapter Three outlines the research methodology employed in this study, including the research design, data collection methods, data analysis techniques, and ethical considerations. The chapter also discusses the selection criteria for IoT devices and sensors used in forestry management. In Chapter Four, the discussion of findings delves into the results of the study, exploring how IoT technology can optimize forestry management practices such as soil monitoring, pest control, and crop health assessment. The chapter also addresses the challenges and limitations faced in implementing IoT solutions in forestry management. Finally, Chapter Five presents the conclusion and summary of the thesis, highlighting the key findings, implications, and recommendations for future research and practical applications. The study concludes that the integration of IoT technology in precision agriculture holds great potential for improving forestry management practices, enhancing productivity, and promoting sustainability in the agriculture and forestry sectors.

Thesis Overview