{
  "id": 19557,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1875232",
  "title": "Automated detection and counting of redbanded stink bugs in soybean using an improved computer vision model",
  "summary": "The redbanded stink bug (RBSB), Piezodorus guildinii, is a major economic pest of soybean, with feeding damage that leads to significant yield losses and increased reliance on pesticide applications. Current management practices depend on manual identification and repeated field counting, which are labor-intensive, time-consuming, and prone to human error, particularly across large production areas. To address these limitations, this study evaluated the potential of computer vision models to aut",
  "authors": "Saurav Upadhyaya",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-14T00:00:00.000Z",
  "fetched_at": "2026-08-15T05:10:17.122Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/19557",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1875232",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}