光谱技术可以快速、准确、无损地获取水稻生长状态的实时信息，是水稻生长监测和精确管理中实施变量投入不可或缺的关键技术。综述了以光谱技术监测水稻长势（包括叶面积指数和生物量）、水稻生物化学参数（包括氮素营养和叶绿素含量）和水分的国内外研究进展，并提出了一些今后研究的设想，以期为提高水稻精确管理水平和单位面积产量提供技术支撑。

Spectrum technique can rapid, accurate and non-destructive monitoring the growth status of rice in the field. It is an essential key technique to implement variable input in rice growth monitoring and precision management. On the basis of spectrum technique, monitoring character of rice growth (including leaf area index and biomass), bio-chemical parameters (including nitrogen nutrition and chlorophyll content) and water of rice were summarized and some ideas for further research were discussed in this paper, which could provide a technique support on improve precision management level and unit area grain yield in rice.