{
  "id": 522797,
  "title": "Machine learning predicts forest soil fungal diversity from drone images",
  "url": "https://urgent.news/2026/08/10/machine-learning-predicts-forest-soil-fungal-diversity-from-drone",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-10T23:40:02.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-08-machine-forest-soil-fungal-diversity.html"
  },
  "original_language": "en",
  "account": null,
  "summary": "Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta research shows. The findings are published in the journal Forest Ecology and Management. Using both tools to map and monitor soil fungal diversity—a key indicator of a healthy forest ecosystem—proved highly effective and could help reduce the need for boots-on-the-ground…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}