Singapore developed remote plant care system

On the island of Singapore, about 7 million trees are growing, and 6 million are controlled using a monitoring system. The Office of National Parks Singapore (NPARKS) tracks about 6 million trees so that foresters can control them using a mobile application as soon as the trees reach a certain size.

The remote control system in combination with other digital estimates allows many trees management tasks directly from the house or office. This initiative will protect employees from work in the exhausting heat, since Singapore is constantly summer, and daytime temperatures fluctuate around 33 ° C. In addition, the rain is on average 167 days a year on the island.

NPARKS employee gains access to the monitoring system

Singapore controls the trees, creating a digital double – clouds of points Lidar are collected, and then the geolocation of each plant is determined using artificial intelligence. Then NPARKS applies the methods of final elements to a digital double to study the overall stability of the tree in various weather conditions (there are strong tropical storms in Singapore), taking into account factors such as the structure of the tree, wood strength and root space.

In addition, the company uses satellite sounding for a multi -spectral analysis to determine the level of chlorophyll and make sure that the tree is still growing and blooming.

The system also includes cameras that make panoramic photos for remote visual inspections, as well as physical tilt sensors in more adult trees to detect any sudden movement that can be potentially dangerous.

Tilt sensor

If a problem is detected, the staff can take measures to improve the structure of the tree or conduct further estimates to determine the life of the plant.

A tool for measuring wood density and detecting voids in the trunk

The development of a high -tech analysis system began 20 years ago with the geotags of trees and progressed as new technologies appeared. About 5 years ago, geotags of trees began to be performed using machine learning. After that, the inventory of trees began to be performed automatically.

/Media reports cited above.