{
  "id": 4777358,
  "title": "Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations",
  "url": "https://urgent.news/2026/08/31/cross-regional-grapevine-cold-hardiness-prediction-via-learned",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T17:04:14.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.31097v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Accurate daily predictions of cold hardiness in woody plants are critical in regions where freezing temperatures can damage dormant buds and reduce seasonal yield. Existing biophysical, hybrid, and deep learning models have shown high predictive accuracy when trained on local data but remain largely site-specific. The limited availability of cold hardiness data, coupled with the lack of…",
  "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."
}