关键词: 水稻, 无损监测, 生育诊断, 无人机, 精准施肥

Abstract: Through the non-destructive monitoring of rice leaf CCN and the acquisition of normalized vegetation index （NDVI value） of UAV, checking and adjusting the consistency between the chemical value and the measured value of nitrogen content in leaves, clarifying the linear relationship between nitrogen content and NDVI value in leaves, constructing the database of non-destructive monitoring value and fertilization, to realize the precise application of ear fertilizer according to the target yield and improve the quality of rice taste, to provide new technology for improving quality and increasing efficiency of rice, and to provide new methods for the development of high quality rice information fertilization and intelligent agriculture.

Key words: rice, non-destructive monitoring, fertility diagnosis, unmanned aerial vehicle, precision fertilization