A global sustainable resources group uses Aicadium’s computer vision algorithms to detect tree health captured through drone footage
A global sustainable resources company needed an efficient way to inspect trees for disease across a vast plantation. Traditionally, this process is entirely manual and labour intensive, so they wanted to find a way to augment the manual inspection process.
Using Aicadium’s computer vision solution trained on multispectral images captured using drones, the plantation is able to detect many of the unhealthy trees on a large scale. The algorithm is tuned to achieve high sensitivity with low missed cases, thus augmenting the manual inspection process to identify the trees that require further inspection.
The organisation is able to easily detect diseased trees and intervene before the virus spreads. By prioritizing the trees that need to be inspected, the organisation enhances the efficiency and transparency of its operations and prevents loss of its valuable assets.