{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreifohxyptxnw3m7teh2nshbkmbjhcrpz6bou4dcnsth7tj6m47lmem",
    "uri": "at://did:plc:evadva5emtpfroklcyw2a7ya/app.bsky.feed.post/3mkrybvnkgvb2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreickfuuvn5qggg4apozrqxjzw76y6wsta3aowtvwqdd4munzkph5rm"
    },
    "mimeType": "image/jpeg",
    "size": 215815
  },
  "path": "/News.aspx?newsID=30678",
  "publishedAt": "2026-04-30T19:39:00.000Z",
  "site": "https://www.azooptics.com",
  "textContent": "This study demonstrates how RGB imaging can non-destructively assess seed viability, improving germination predictions and supporting sustainable reforestation.",
  "title": "Optical Imaging Predicts Seed Quality Using RGB Sensors"
}