快速、精確地使用影像分析來測量水稻瘤野螟（縱捲葉蟲）取食葉面積

A Rapid, Accurate, and Precise Image Analysis to Measure the Damaged Leaf Area Infested with Rice Leaf Folder

劉弘一(Hung-I Liu) ； 黃守宏(Shou-Huang Huang) ； 蔣國司(Kuo-Szu Chiang)

《台灣農業研究》 66卷4期 (2017/12) Pp. 307-317

https://doi.org/10.6156/JTAR/2017.06604.05

摘要

瘤野螟[Rice leaf folder, Cnaphalocrocis medinalis (Guenée)]是水稻主要害蟲之一，其幼蟲取食水稻葉片致使減少葉片的光合作用，進而造成水稻極大的產量損失。傳統對於瘤野螟幼蟲取食葉片面積採用方格紙描繪測量，此人工方法需耗費相對多的時間及人力，本研究證實利用影像分析(ASSESS 2.0)來進行瘤野螟取食葉面積的測量，其結果與黃金標準(人工描繪測量)顯示具有極高的一致性(ρ_c高於0.983)，而且經變方分析驗證此兩測量方法並無顯著差異；此外，影像分析可以減少29%以上的測量時間，故推薦影像分析可作為瘤野螟取食稻葉面積測量的工具。

關鍵字

水稻 ； 瘤野螟 ； 取食面積 ； 測量 ； 影像分析

並列摘要

Rice leaf folder [Cnaphalocrocis medinalis (Guenée)] is one of the major pests of rice. Injury to flag leaf caused by rice leaf folder larva will reduce the efficiency of photosynthesis process, thereby leading to serious yield loss. Traditionally, the damaged leaf area of rice leaf folder has been measured using manual approach. However, the traditional method takes relatively more time and manpower. In this study, the image analysis via ASSESS 2.0 was used to measure the damaged leaf area. The result showed that measurement and analysis of image was highly consistent with that of the manual approach, which is regarded as the gold standard (ρ_c higher than 0.983). Moreover, the variance analysis showed that the two methods had no significant difference. In addition, the image analysis can reduce at least 29% measurement time. Thus, image analysis can be recommended as a tool for the damaged leaf area measurement infested with rice leaf folder.

並列關鍵字

Rice ； Oryza sativa L. ； Rice leaf folder ； Cnaphalocrocis medinalis (Guenée) ； Measurement ； Image analysis