Machine learning predicts forest soil fungal diversity from drone images

Researchers from the University of Alberta have developed a method using drone imagery and machine learning to monitor forest soil fungal diversity. This approach offers a more cost-effective and scalable alternative to traditional, labor-intensive manual soil sampling.