Drones as a Tool for monitoring Plantation and Highways contruction

This update will brief you about how Drones can play an important role in monitoring plantation , highways construction and agriculture using AI and machine learning. Earlier there was only LiDAR who use to perform such reports.

Light Detection and Ranging (LiDAR), which records 3D structure based on emitted laser pulses, is often employed for characterizing 3D vegetation structure . While LiDAR can accurately measure forest, plantation, and individual tree structure in 3D , it is prohibitively-expensive for smallholders in tropical and developing nations . A typical commercial aerial LiDAR acquisition costs at least US $20,000 per flight , significantly more than low-income smallholders can afford.

However, new developments with unmanned aerial vehicles (drones) have significantly lowered the cost and time needed to conduct inventories . Because of this, drones offer the possibility of empowering landowners or small organizations to conduct forest inventories more frequently. DronEye ( a linkites startup) helping govt. by providing accurate data by sending drones to the predefined lat and lng. Photos taken from these cameras can be processed with AI based platform(e.g., DronEye) to construct a 3D model using structure from motion algorithms . These algorithms identify features (e.g., trees, buildings) on overlapping photos taken from different angles and reconstruct the features’ 3D structure . The resulting data is a collection of RGB points that represent the 3D surface of the objects imaged by the drone. This method has been used to produce LiDAR-like results in measuring canopy heights, structure, roughness, and biomass

DronEye draws the site on google map which creates the fly markers on the map for drones to fly and takes Images automatically and send it to the server to perform AI and Image Recolonization. Small video to demonstrate our research and technology...click here for the detail