Precision Forestry is an emerging field that combines advancements in robotics and sensing technologies to revolutionize tree measurement and monitoring practices. This paper explores the integration of robotics and sensing technologies in the context of tree measurement and monitoring, presenting an overview of the current state-of-the-art techniques and their potential implications for the forestry industry. The integration of robotics enables the automation of labor-intensive tasks such as tree inventory, growth monitoring, and health assessment, leading to improved efficiency, accuracy, and cost-effectiveness. Sensing technologies, including LiDAR, hyperspectral imaging, and drones equipped with various sensors, enable the collection of high-resolution and multi-dimensional data, facilitating detailed analysis of tree characteristics and environmental factors. This paper discusses the key components of precision forestry, including robotic platforms, data acquisition systems, and data analytics techniques. Furthermore, it highlights the benefits of precision forestry, such as enhanced resource management, early detection of diseases and pests, and improved decision-making for sustainable forest management. The challenges and limitations associated with the implementation of precision forestry are also addressed, including data processing, standardization, and integration with existing forestry practices. Finally, this paper presents future research directions and potential applications of precision forestry, emphasizing the need for interdisciplinary collaboration among forestry experts, roboticists, sensor technologists, and data scientists. Overall, the integration of robotics and sensing technologies in precision forestry holds immense promise for transforming traditional forestry practices and enabling more efficient, sustainable, and data-driven approaches to forest management