基于反射光谱和叶绿素荧光数据的作物病害遥感监测研究进展

竞霞, 邹琴, 白宗璠, 黄文江

Research progress of crop diseases monitoring based on reflectance and chlorophyll fluorescence data

JING Xia, ZOU Qin, BAI Zong-Fan, HUANG Wen-Jiang

表1 特征选择算法及敏感波段

Table 1 Feature selection algorithm and sensitive band

作物病害类型 Type of crop diseases 光谱响应波段 Spectral response band (nm) 特征选择算法 Feature selection algorithm 参考文献 References 小麦条锈病 Wheat stripe rust 560-670 Filter [24] 小麦白粉病 Wheat powdery mildew 490, 510, 516, 540, 780, 1300 Filter [25] 水稻穗颈瘟 Rice panicles blast 430-530, 580-680, 1480-2000 Filter [26] 番茄晚疫病 Tomato late blight 700-750, 750-930, 950-1030, 1040-1130 Filter [27] 棉花黄萎病 Cotton verticillium wilt 680-760, 731-1371 Filter [28] 玉米大斑病 Corn leaf blight 725-740 Filter [29] 小麦条锈病、小麦白粉病 Wheat yellow rust, wheat powdery mildew 480, 633, 934 Wrapper [30] 水稻颖枯病 Rice panicles 450-850 Wrapper [31] 番茄叶斑病 Tomato bacterial spot 395, 633-635, 750-760 Wrapper [32] 花生叶斑病 Peanut leaf spots 761, 938 Wrapper [33] 苹果黑星病 Venturia inaequalis infection 1350-1750, 2200-2500 Embedded [34] 马铃薯晚疫病 Potato late blight 600-900 Embedded [35]