cff-version: 1.2.0
message: "If you use this research package, please cite the public version below."
title: "從多光譜影像到可複查病害圖：DJI Mavic 3M 水稻白葉枯病疑似區偵測的可拒判模型、跨感測器遷移與田間驗證框架"
type: dataset
authors:
  - family-names: "周"
    given-names: "秉漢"
    alias: "CHOU, BING-HAN"
    orcid: "https://orcid.org/0009-0000-7018-5096"
version: "1.0"
date-released: "2026-08-04"
doi: "10.5281/zenodo.21787704"
url: "https://bento24235111.com/research-journal/m3m-optical-disease-screening"
license: "CC-BY-4.0"
identifiers:
  - type: doi
    value: "10.5281/zenodo.21787704"
    description: "Version DOI"
  - type: url
    value: "https://bento24235111.com/research-journal/m3m-optical-disease-screening"
    description: "Canonical research page"
abstract: "本研究提出一套以 DJI Mavic 3M RGB 與綠、紅、紅邊、近紅外影像為輸入的水稻白葉枯病疑似區光學篩檢框架，實作可稽核特徵、群組切分、品質與分布外拒判、雙門檻決策、模型卡與推論收據。現階段結果只證明合成測試下的工程流程可重現，不代表臺灣田間診斷效能、病原確診、食安判定或施藥依據。"
keywords:
  - "DJI Mavic 3M"
  - "無人機多光譜影像"
  - "水稻白葉枯病"
  - "光學病害疑似區"
  - "NDVI"
  - "NDRE"
  - "GNDVI"
  - "跨感測器遷移"
  - "可拒判模型"
  - "空間資料洩漏"
  - "可重現研究"
  - "智慧農業"
preferred-citation:
  type: report
  title: "從多光譜影像到可複查病害圖：DJI Mavic 3M 水稻白葉枯病疑似區偵測的可拒判模型、跨感測器遷移與田間驗證框架"
  authors:
    - family-names: "周"
      given-names: "秉漢"
      alias: "CHOU, BING-HAN"
      orcid: "https://orcid.org/0009-0000-7018-5096"
  year: 2026
  version: "1.0"
  doi: "10.5281/zenodo.21787704"
  url: "https://bento24235111.com/research-journal/m3m-optical-disease-screening"
  publisher:
    name: "上好味研究工作論文系列"
