Thesis Abstract

Abstract
This thesis explores the application of Internet of Things (IoT) technology in the domains of precision agriculture and smart forest management. The integration of IoT devices and sensors in agricultural and forestry practices has revolutionized traditional methods, enabling real-time monitoring, data collection, and decision-making processes. The study investigates how IoT technology can enhance precision agriculture techniques, such as precision irrigation, crop monitoring, and livestock management, to optimize resource utilization and increase productivity. Furthermore, it delves into the implementation of IoT solutions for smart forest management, including monitoring tree health, detecting forest fires, and preventing illegal logging activities. Through an extensive review of literature, the thesis examines the current state of IoT adoption in agriculture and forestry, highlighting key trends, challenges, and opportunities. The research methodology section outlines the approach taken to collect and analyze data, including case studies, surveys, and field experiments. The findings from these investigations are then presented and discussed in detail, shedding light on the impact of IoT technology on agriculture and forestry practices. The thesis concludes by summarizing the key findings, implications, and recommendations for future research and practical applications. Overall, this study contributes to the growing body of knowledge on the potential of IoT technology to transform agriculture and forestry sectors, paving the way for sustainable and efficient resource management practices.

Thesis Overview