In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …

Agriculture is the primary source of income in developing countries like India. Agriculture
accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or …

Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Tea leaf blight (TLB) is a common disease that affects the yield and quality of tea. Timely and
accurate detection and monitoring of TLB can help support the precise control of the …

The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …

Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …

This paper highlights the significance of Artificial Intelligence (AI) in the realm of drone
applications in forestry. Drones have revolutionized various forest operations, and their role …

Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

Wood-boring pests (WBPs) pose an enormous threat to global forest ecosystems because
their early stage infestations show no visible symptoms and can result in rapid and …