{
  "id": 1959151,
  "title": "Quantifying Crop Disease Trait Dynamics through Longitudinal Imaging and Temporal Analytics",
  "url": "https://urgent.news/2026/08/19/quantifying-crop-disease-trait-dynamics-through-longitudinal-imaging",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-19T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.14.744665v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reliable and objective phenotyping is essential for plant breeding programs to characterize genetic variation and accelerate crop improvement. Conventional disease assessment relies on expert visual scoring, which is labor-intensive, subjective, and prone to inter- and intra-rater variability. Although image-based phenotyping methods have been proposed, many require manual intervention,…",
  "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."
}