Thesis Abstract

Abstract
The integration of Internet of Things (IoT) technologies in agriculture has revolutionized traditional farming practices by enhancing precision, efficiency, and sustainability. This thesis explores the application of IoT in precision agriculture for crop monitoring and management, focusing on its impact on improving yield, resource utilization, and environmental sustainability. The study investigates various IoT devices, sensors, and data analytics techniques used in monitoring crop growth, soil conditions, water usage, and pest control. Chapter One provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, and the structure of the thesis. The chapter also defines key terms related to IoT in precision agriculture. Chapter Two presents a comprehensive literature review covering ten key areas related to IoT applications in agriculture, including sensor technologies, data analytics, precision farming techniques, and sustainable agriculture practices. Chapter Three details the research methodology employed in this study, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the selection and deployment of IoT devices and sensors for crop monitoring and management. Chapter Four presents a detailed discussion of the findings from the research, analyzing the impact of IoT technologies on crop monitoring and management practices. The chapter explores the benefits of real-time data monitoring, predictive analytics, and decision support systems in optimizing crop production and resource allocation. Finally, Chapter Five offers a conclusion and summary of the thesis, highlighting the key findings, implications, and future research directions in the field of IoT in precision agriculture. The study concludes that the application of IoT technologies in agriculture has the potential to transform traditional farming practices, leading to improved crop productivity, resource efficiency, and environmental sustainability. Overall, this thesis contributes to the growing body of knowledge on IoT applications in agriculture and provides valuable insights for farmers, researchers, policymakers, and industry stakeholders seeking to enhance crop monitoring and management practices through technological innovations.

Thesis Overview