Saudi researchers find revolutionary way to ID palm tree species

Researchers from Riyadh’s King Saud University have found a revolutionary way to identify palm tree species through image analysis.

Details of the team’s scientific breakthrough were recently published in the leading Frontiers in Plant Science journal.

Using smart technology, the so-called DPXception system can distinguish between different kinds of palm trees based solely on pictures, without the need for fruit images or any other additional information.

The university findings offer a cost-effective and practical method of identifying palm species, the Saudi Press Agency reported on Wednesday.

Previous approaches have been reliant on expensive genetic fingerprinting or fruit-based methods that were restricted by seasonal availability.

The study’s DPXception system utilizes deep learning networks to analyze palm tree images and accurately identify species based on distinctive features.

Head of the team, Dr. Mejdi Safran, said the research marked the start of a broader plan to identify pests and address other crucial aspects related to palm trees.

Dr. Sultan Alfarhood, a team member, said the study’s outcomes would help scientific exploration of palm trees and related research at local and international levels.

And he noted that the team was also developing smart apps using the system to offer services and consultation to farmers and investors around the world.