2026-03-13T20:50:36Z https://repository.naro.go.jp/oai

oai:repository.naro.go.jp:00001904 2023-05-15T15:23:28Z 87:653:531:131:280

近赤外線分光法を利用したモモシンクイガに加害されたリンゴの識別の試み An Experiment to Detect Apples Infested by the Peach Fruit Moth, Carposina sasakii Matsumura (Lepidoptera: Carposinidae), Using Near-Infrared Spectroscopy 豊島, 真吾 トヨシマ, シンゴ TOYOSHIMA, Shimgo 中元, 陽一 ナカモト, ヨウイチ NAKAMOTO, Yoichi 高梨, 祐明 タカナシ, マサアキ TAKANASHI, Masaaki 増田, 哲男 マスダ, テツオ MASUDA, Tetsuo Carposina sasakii apple near-infrared spectroscopy non-destructive inspection NIR Carposina sasakii apple near-infrared spectroscopy non-destructive inspection NIR The potential of near-infrared spectroscopy to detect apples ('Fuji' cultivar) infested by the peach fruit moth, Carposina sasakii, was evaluated using a prevalent NIR device. A calibration equation was developed using both the NIR spectra and injury levels of the infested fruits. The equation predicted the injury levels of fruits using a simple correlation coefficient of 0.8868 and a standard error of prediction of 0.3688. At the level of estimates to discard ca 90% of infested fruits, 90.15% of the infested fruits and 39.24% of the uninfested fruits were excluded from the samples. Although its accuracy was not sufficient, the present NIR device has the potential to identify internally infested fruits. モモシンクイガに加害されたリンゴ'ふじ'を近赤外線分光法で識別できるか，現行の近赤外線非破壊選果機を使って評価した．被害果の近赤外スペクトルデータと被害度を分析して検量線を作成したところ，検量線による予測値と実測の被害度との間に相関係数0.8868±0.3688の相関関係があることがわかった被害果の約90%を除去する被害度の予測値0.37において,　90.15%の被害果と同時に39.24%の健全果も除去されるので，十分な識別率とは言えないが，現行の近赤外線選果機でモモシンクイガ被害果の識別の可能性が示唆された. departmental bulletin paper 独立行政法人 農業・生物系特定産業技術研究機構 果樹研究所 2006-03-01 VoR application/pdf 果樹研究所研究報告 5 87 94 Bulletin of the National Institute of Fruit Tree Science 1347-3549 https://repository.naro.go.jp/record/1904/files/nifs_report_No5p87-94p.pdf https://doi.org/10.24514/00001848 https://repository.naro.go.jp/records/1904 eng 10.24514/00001848