Thesis Abstract

Abstract
The utilization of drones for precision agriculture and forest monitoring has emerged as a promising approach to enhancing agricultural and forestry practices through the integration of advanced technologies. This thesis explores the potential applications of drones in improving efficiency, productivity, and sustainability in agriculture and forestry sectors. The study investigates the use of drones equipped with various sensors and imaging technologies to collect data for monitoring crop health, identifying pest infestations, assessing soil conditions, and mapping forest resources. Chapter one provides an introduction to the research topic, background information, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter two presents a comprehensive literature review covering ten key areas related to the use of drones in precision agriculture and forest monitoring. The review explores past studies, methodologies, technologies, and applications that have contributed to the advancement of drone-based monitoring systems in agriculture and forestry. Chapter three outlines the research methodology employed in this study, including data collection methods, drone selection criteria, sensor technologies, flight planning procedures, data processing techniques, and analysis tools. The chapter also discusses the challenges and limitations associated with drone-based monitoring in agricultural and forestry settings and proposes strategies to address these issues. Chapter four presents a detailed discussion of the findings obtained from the drone-based monitoring activities conducted in agricultural and forest environments. The results highlight the effectiveness of drones in capturing high-resolution imagery, detecting crop diseases, monitoring vegetation health, and assessing forest biomass. The chapter also examines the implications of the findings on improving decision-making processes, resource management practices, and environmental conservation efforts in agriculture and forestry sectors. In the final chapter, chapter five, the thesis concludes with a summary of the key findings, implications for future research, and recommendations for the practical implementation of drone technologies in precision agriculture and forest monitoring. The study underscores the potential benefits of integrating drones into agricultural and forestry operations, such as cost savings, time efficiency, data accuracy, and environmental sustainability. Overall, this thesis contributes to the growing body of knowledge on the application of drones for precision agriculture and forest monitoring, offering insights into the transformative potential of drone technologies in shaping the future of sustainable agriculture and forestry practices. Keywords Drones, Precision Agriculture, Forest Monitoring, Agriculture Technology, Remote Sensing, Data Collection, Environmental Sustainability

Thesis Overview